Nutrition in Clinical Practice

The literature indicates that pediatric malnutrition is more common than the number of times it is actually diagnosed. A new pediatric malnutrition definition is now available with criteria to make the diagnosis. If pediatric malnutrition is present, it should be diagnosed for financial, educational, and research purposes as well as the effects on patient development and mortality. These reasons extend beyond the health of an individual patient to potential impacts on society as a whole. When all of these reasons are examined and added, making the diagnosis of pediatric malnutrition becomes an obligation of the pediatric caregiver.

Assessment of body composition, both at single time points and longitudinally, is particularly important in clinical nutrition practice. It provides a means for the clinician to characterize nutrition status at a single time point, aiding in the identification and diagnosis of malnutrition, and to monitor changes over time by providing real-time information on the adequacy of nutrition interventions. Objective body composition measurement tools are available clinically but are often underused in nutrition care, particularly in the United States. This is, in part, due to a number of factors concerning their use in a clinical context: cost and accessibility of equipment, as well as interpretability of the results. This article focuses on the factors influencing interpretation of results in a clinical setting. Body composition assessment, regardless of the method, is inherently limited by its indirect nature. Therefore, an understanding of the strengths and limitations of any method is essential for meaningful interpretation of its results. This review provides an overview of body composition technologies available clinically (computed tomography, dual-energy x-ray absorptiometry, bioimpedance, ultrasound) and discusses the strengths and limitations of each device.

Patients with cancer are at an increased risk for muscle loss via 2 distinct mechanisms: sarcopenia, defined as the age-associated decrease in muscle mass related to changes in muscle synthesis signaling pathways, and/or cachexia, defined as cytokine-mediated degradation of muscle and adipose depots. Both wasting disorders are prevalent; among patients with cancer, 15%–50% are sarcopenic and 25%–80% are cachectic. Muscle mass may be difficult to quantify in overweight/obese individuals. Often, overweight/obese patients with cancer are assumed to be normally nourished when in fact severe muscle depletion may be present. No universally accepted treatment exists for preventing or reversing sarcopenia or cachexia in patients with cancer. Current treatment options are limited to nutrition therapy and exercise, which may lead to difficulties in adherence during cancer treatment. Future treatments may provide pharmaceutical therapy that targets muscle degradation and synthesis pathways. There is a need to determine a multimodal treatment plan for muscle depletion to improve quality of life, survival, and therapy complications in patients with cancer.

Pediatric patients with chronic illnesses or diseases or who require long-term nutrition support are most vulnerable to nutrition-related issues. Malnutrition in a pediatric patient may negatively affect long-term growth and development. Children also become malnourished much more quickly than adults. A comprehensive nutrition assessment that includes food and nutrition-related history, anthropometric measurements, biochemical data, medical tests and procedures, nutrition-focused physical findings, and patient history should be completed on these patients as no one parameter is a comprehensive indicator of nutrition status. Anthropometric measurements provide important information on the growth and nutrition status of a child, yet many times it is difficult to get accurate and valid measurements due to physical limitations of the child or improper technique. Inaccurate measurements may result in a missed diagnosis of malnutrition or may lead to an incorrect diagnosis of a healthy child. Knowledge of appropriate anthropometric measurements and alternatives is crucial when assessing growth in all children and essential for those who are physically handicapped or critically ill. The purpose of this review is to present key components of a pediatric nutrition assessment so proper nutrition-related diagnosis, including malnutrition, can be accomplished, a nutrition care plan established, and expected outcomes documented.

The publication of the landmark paper “Defining Pediatric Malnutrition: A Paradigm Shift Toward Etiology-Related Definitions” launched a new era in diagnosing pediatric malnutrition. This work introduced the paradigm shift of etiology-related definitions—nonillness and illness related—and the use of anthropometric z scores to help identify and describe children with malnutrition (undernutrition) in the developed world. Putting the new definition into practice resulted in some interesting observations: (1) Etiology-related definitions result in etiology-related interventions. (2) Illness-related malnutrition cannot always be immediately “fixed.” (3) Using z scores in clinical practice often puts the burden of proof on the clinician to show that a child is not malnourished, rather than the other way around. (4) Children with growth failure severe enough to be admitted with “failure to thrive” should always be assessed for malnutrition, and when they meet the criteria, malnutrition should be documented and coded. The publication of the consensus statement came next, announcing the evidence-informed, consensus-derived pediatric malnutrition indicators. Since the indicators are a work in progress, clinicians are encouraged to use them and give feedback through an iterative process. This review attempts to respond to the consensus statement’s call to action by thoughtfully appraising the indicators and making recommendations for future review. Coming together as a healthcare community to identify pediatric malnutrition will ensure that this vulnerable population is not overlooked. Outcomes research will validate the indicators and result in new discoveries of effective ways to prevent and treat pediatric malnutrition.

Background: Mid-upper arm circumference (MUAC) has proven highly predictive of morbidity and mortality associated with malnutrition better, in some cases, than other growth indicators, including body mass index (BMI) z scores and weight-for-height z scores. A recent consensus statement recommended the inclusion of MUAC and MUAC z scores in the nutrition assessment of children in the United States; however, the requisite data to permit z score calculations for children aged >5 years have not been published. Objective: This investigation was designed to generate lambda mu sigma (LMS) values to permit the calculation of MUAC z scores in U.S. children 2 months through 18 years of age. Design: Anthropometric data from the Centers for Disease Control and Prevention (CDC) National Health and Nutrition Examination Survey (1999–2012) were used for model development (n = 28,995). Smoothed centiles were constructed and compared with previously described CDC percentiles. Independently collected MUAC data from 2 different U.S. studies were used for external validation (n = 1438). Statistical Analyses: Goodness-of-fit was assessed visually and statistically by examining detrended quantile-quantile plots, Q statistics, and the distribution of z scores. Results: The curves generated in this investigation fit the raw data well with no systematic bias and no sacrifice in fit for children aged <12 months. The curves were consistent with those published by the CDC, and the distribution z scores approximated 0 ± 1 in all age groups. Conclusions: These LMS values derived in this investigation can be used by clinicians to generate MUAC z scores for U.S. children.

The 2 most common methods to determine resting metabolic rate (RMR) with indirect calorimetry are steady state (SS) and time intervals. Studies have suggested SS more accurately reflects RMR, but further research is needed. Our objective was to compare the bias, precision, and accuracy of SS to time intervals and non-SS measurements in a healthy adult population. Seventy-seven participants were measured for 45 minutes using a Quark RMR. Inclusion criteria included healthy participants aged 18–65 years. Pregnant and lactating women were excluded. Paired t tests compared differences between measures. Bland-Altman plots were used to determine precision. Bias occurred if there was a significant difference between the means. Accuracy was determined by counting the number of absolute differences between SS compared with non-SS and time intervals that were <75 calories. Of 77 participants, 84% achieved SS, and 95% achieved SS by minute 30. Most differences between SS and time intervals were statistically but not practically significant. Bland-Altman plots showed SS measurements were generally lower than any time interval, suggesting SS is more indicative of RMR. Non-SS was significantly more biased (P = .0005), less precise (spread of limits of agreement was 269 calories), and less accurate (65%) than SS. We conclude that non-SS is not equivalent to SS. We also conclude that using 5-minute SS is more indicative of RMR than any time interval that was tested in healthy populations. If SS cannot be achieved, we recommend repeating the measurement.

Background: The prevalence of malnutrition in emergency units is high, and data on the nutrition risk of patients admitted in these units are scarce. The aims of this study are to determine the nutrition risk profile of individuals admitted in an emergency unit and to identify clinical, anthropometric, and laboratory attributes according to nutrition risk classification. Materials and Methods: A total of 234 individuals in an emergency unit from 1 university hospital in Brazil were enrolled in this cross-sectional study. The nutrition risk profile was determined using the Nutrition Risk Screening 2002. Sociodemographic, clinical, anthropometric, and laboratory data were collected. Comparisons between individuals “at risk” and “not at risk” and logistic regression analyzes were performed. Results: The prevalence of nutrition risk at admission was 48.7%. Patients at risk were older (P = .031), were less educated (P = .022), had a lower body mass index (P < .001), had higher concentrations of C-reactive protein (CRP; P = .007), had a higher CRP/serum albumin ratio (P = .004), had lower concentrations of serum albumin (P = .002), and had severe weight loss (P < .001). Altogether, this profile resulted in a longer hospital stay (P = .004), more complications (P = .005), and greater use of antibiotics (P = .024). In regression analyses, low serum albumin (odds ratio [OR], 2.75; 95% confidence interval [CI], 1.23–6.13) and, higher serum CRP (OR, 1.13; 95% CI, 1.00–3.72), use of antibiotics (OR, 13.3; 95% CI, 1.59–111.16) were predictors of long hospital stay. Conclusion: The prevalence of nutrition risk in emergency patients was high and its profile associated with worse clinical, laboratory, and anthropometric outcomes. The use of other laboratory and clinical variables may also be a good strategy for predicting adverse outcomes in emergency units.

Background: Bowel resection is required in the majority of patients with Crohn’s disease (CD) during their lifetime. The Prognostic Nutritional Index (PNI) is a useful tool for predicting postoperative outcomes in patients undergoing cancer surgery. We examined the ability of the PNI to predict short-term outcomes in patients with CD-related bowel resection. Materials and Methods: Seventy-three patients who underwent bowel resection for CD were retrospectively enrolled in the study. The PNI was calculated as follows: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mL). Patients were divided into 2 groups: PNI <40 (n = 30) and PNI ≥40 (n = 43). Results: A significant difference was found in body mass index (17.9 ± 2.4 vs 19.2 ± 2.2, P = .018) between the 2 groups. Postoperative overall and infectious complications occurred more frequently in patients with PNI <40 than in those with PNI ≥40 (50.0% and 46.7% vs 23.3% and 16.3%, P = .018 and P = .005, respectively). In the univariate analysis, body mass index <18.5, penetrating behavior, open surgery, and PNI <40 were associated with an increased risk of overall complications and infectious complications. In the multivariate analysis, only PNI <40 was an independent prognostic factor for infectious complications (odds ratio: 3.846, 95% confidence interval: 1.145-12.821). Conclusions: Preoperative PNI is a useful predictor of postoperative infectious complications in patients with CD-related bowel resection.

Background: Advanced heart failure is associated with a wide range of physiological derangements, including muscular deterioration, weight loss, and cardiac cachexia. These conditions, as well as poor nutrition status, have been shown to affect the quality of outcomes in patients who undergo left ventricular assist device (LVAD) implantation. Noting that handgrip strength has been shown to be an effective indicator of poor functional status, muscular strength, and nutrition, we investigated its use as a tool for prediction of length of stay (LOS) in patients undergoing LVAD implantation. Materials and Methods: Handgrip strength was measured in 90 patients undergoing evaluation for LVAD implantation using the Jamar Hand Dynamometer. Handgrip strength was normalized to body weight (HGS:BW), and patients were divided into 2 groups: those with HGS:BW <28.5% and those with HGS:BW ≥28.5%. Clinical data and length of stay were compared between groups. Results: Patients with lower HGS:BW tended to have worsened clinical indicators of heart failure severity, including reduced ejection fraction, serum albumin, and hemoglobin and increased B-type natriuretic peptide and white blood cell count. Lower HGS:BW was an independent predictor for increased LOS. Conclusion: Handgrip strength measurement at the bedside is a simple and effective means of assessing functional status and risk for increased LOS following LVAD implantation, which may aid in preoperative evaluation of LVAD candidacy.

Background: Sarcopenia is an important problem for older adults, leading to morbidity and mortality; therefore, early detection with a precise method is essential. We aimed to investigate the role of bioelectrical impedance analysis–derived phase angle as a determinant of sarcopenia. Materials and Methods: A cross section of 263 community-dwelling and hospitalized older adults (>65 years) were assessed in terms of sarcopenia with bioelectrical indices and anthropometric measurements. Sarcopenic and nonsarcopenic groups were compared, and significant determinants of sarcopenia were further analyzed with multivariate logistic regression analysis. Results: Forty patients were diagnosed with sarcopenia. The following were significant correlates of sarcopenia: female sex, low weight/height, low body mass index, decreased muscle strength, low calf circumference, low skeletal muscle mass/index, high impedance at 50 kHz, a history of hypertension, worse nutrition status, and low phase angle. Diagnostic parameters with well-known association were omitted, and sex, height, weight, body mass index, creatinine, nutrition status, phase angle, impedance at 50 kHz, and hypertension category were included in regression analysis. The following were independent associated factors with sarcopenia: phase angle (odds ratio [OR]: 0.59, 95% confidence interval [95% CI]: 0.40–0.87, P = .008), body mass index (OR: 0.84, 95% CI: 0.77–0.93, P = .001) impedance at 50 kHz (OR: 1.010, 95% CI: 1.006–1.015, P < .001), and height (OR: 0.93, 95% CI: 0.88–0.97, P = .001). Receiver operating characteristic analysis revealed that the optimal phase angle cutoff value to detect sarcopenia was ≤4.55º. Conclusions: Bioelectrical phase angle can be useful for diagnosis of sarcopenia.

Background: The association of sarcopenia with disability with ambulatory status is uncertain because most studies have targeted people who could walk independently. This study explored the prevalence of sarcopenia regardless of ambulatory status and the impact of ambulatory status on sarcopenia. Materials and Methods: In total, 778 consecutive patients, aged ≥65 years and admitted to a hospital, were enrolled. Ambulatory status was divided into 4 grades according to mobility as described in the Barthel index. Sarcopenia was defined as a loss of appendicular muscle mass index (AMI) with bioelectrical impedance and decreased muscle strength with handgrip strength (HGS); cutoff values were adopted from the Asian Working Group for Sarcopenia. Results: The mean patient age was 83.2 ± 8.3 years; 37.8% were male patients. Mobility limitation was associated with higher age, underweight body mass index, malnourishment, and comorbidities (all P < .001). AMI and HGS gradually decreased with declining ambulatory status (P < .001). The prevalence of sarcopenia in the independent walk, walk with help, wheelchair, and immobile groups was 57.9%, 76.1%, 89.4%, and 91.7%, respectively. AMI prevalence declined and sarcopenia drastically increased in patients who were unable to walk independently compared with those who could walk independently (P < .001). Multivariate regression analyses showed that mobility limitation was an independent indicator of decreasing AMI and sarcopenia after adjustment for confounders. Conclusion: Patients with dependent ambulatory status experienced a higher prevalence of sarcopenia compared with those with ambulation; in addition, decline in ambulatory status was an independent indicator for the presence of sarcopenia after adjustment for potential confounders.

Background: Resting energy expenditure (REE) is increased in patients with cystic fibrosis (CF) with end-stage lung disease due to chronic inflammation and pulmonary infections. After lung transplantation (LTx), energy expenditure is expected to be lower because inflammation will decrease. We assessed the agreement between measured and predicted REE in pre-LTx CF and post-LTx patients with CF and differences in REE in pre-LTx CF and post-LTx patients with CF in a cross-sectional study. Methods: Included were 12 pre-LTx patients with CF (9 women; median age 31.6 years; interquartile range [IQR], 23.3–40.0) and 12 patients with CF within 2 years after LTx (6 women; median age 33.5 years; IQR, 22.3–40.3). REE was measured in a fasted state using indirect calorimetry. Values were compared with predicted REE calculated by formulas of Harris-Benedict (1919 and 1984), Schofield, and the World Health Organization (1985). A calculated REE between 90% and 110% of REE measured was considered adequate. Results: Prediction equations underestimate REE in at least 75% of pre-LTx and 33% of post-LTx patients with CF. Mean (SD) REE measured by indirect calorimetry was 1735 (251) kcal pre-LTx and 1650 (235) kcal post-LTx (P = .40). REE expressed per kilogram of fat-free mass (FFM) was 40.5 kcal/kg in pre-LTx patients with CF, which was higher than the 34.3 kcal/kg in post-LTx patients with CF (P = .01). Conclusions: Prediction equations underestimate REE in patients with end-stage CF. REE per kg of FFM is lower post-LTx than pre-LTx in patients with CF. Measurement of REE is recommended for patients with CF, especially pre-LTx, to optimize energy requirements for improving nutrition status.

This study evaluated the effect of an immune-modulatory diet on patients with gastric cancer and identified the parameters associated with postoperative outcomes. This was a single-arm prospective intervention study. At baseline, patients were assessed for nutrition (Patient-Generated Subjective Global Assessment), inflammatory markers (albumin, C-reactive protein, and interleukin 6 [IL-6]), and immune markers (percentage NK, CD4, CD8, and CD4:CD8 ratio); they also received nutrition counseling and high-calorie/protein supplement. A week before surgery, they were assessed for nutrition and inflammatory/immune markers and started on an immune-modulatory supplement until the day before surgery, when they were evaluated again. On the second postoperative day, patients were assessed for inflammatory/immune parameters, and a final nutrition evaluation was performed until the day of discharge. Complications were recorded daily and up to 30 days after discharge. Thirty-seven patients (60 ± 10 years old) were included, and 57% were classified as malnourished. Maintenance of nutrition and immune parameters occurred throughout the study period, but we found a preoperative increase in C-reactive protein (0.1–1.5 mg/dL) and IL-6 (2.0–14.2 pg/mL) and a postoperative increase in the CD4:CD8 ratio (2.3 ± 1.0). Complications and death were seen in 35%, especially patients with higher preoperative IL-6 (2.2–46 pg/mL), lower CD4:CD8 ratio (1.7 ± 0.5), and lower protein (1.2 ± 0.5 g/kg/d) and calorie intake (1552 ± 584 kcal/kg/d). The high-calorie/protein supplementation with the immune-modulating diet was able to maintain the nutrition and immune status of patients with gastric cancer.

Background: Height evaluation is an integral part of cystic fibrosis (CF) care. Height is compared with reference values by converting it to height-for-age (HFA) z scores. However, HFA z scores do not adjust for genetic potential (ie, target height [TH]), which could result in an incorrect estimation of the height. Materials and Methods: To evaluate the magnitude of this potential problem, we assessed the agreement between HFA and HFA-adjusted-for-TH (HFA/TH) z scores in 474 Dutch children with CF. Results: In this study sample, HFA z scores were −0.07 (95% confidence interval, −0.02 to −0.12) lower than HFA/TH z scores. When HFA and HFA/TH z scores were subdivided into 4 categories (≥0, <0 and ≥–1, <−1 and ≥−2, and ≤−2), a moderate agreement was found. HFA z scores were classified lower than HFA/TH z scores in 21% of the measurements and higher in 15% of the measurements. Conclusion: In clinical routine, height evaluation based on HFA may result in underestimation or overestimation of height growth, which may induce inappropriate nutrition interventions.

Spinal infections are a rare yet serious metastatic complication of bacteremia among patients with long-term central venous catheters (CVCs) for which clinicians must remain vigilant. We performed a retrospective review of all cases of spinal infection occurring in the context of a CVC for long-term parenteral nutrition (PN) managed in our department between January 2010 and October 2013, a cohort of 310 patients over this time period. Six patients were identified (mean age, 65 years; 5 male). One hundred percent of patients presented with spinal pain (5/6 cervical, 1/6 thoracic). Organisms were cultured from the CVC in 5 of 6 patients. In all cases, the white blood cell count was normal, and in 5 of 6, C-reactive protein was normal. All diagnoses were confirmed on magnetic resonance imaging (MRI), and in 3 of 6 cases, an MRI was repeated (on the advice of neurosurgical colleagues) to confirm resolution of changes after a period of antimicrobial therapy. There was no clear correlation between duration of PN or number of days following CVC insertion and onset of infection. The CVC was replaced in 4 of 6 patients at the time of diagnosis, delayed removal in 1 of 6, and salvaged in the remaining case. Although rare, a high index of suspicion is needed in patients receiving long-term PN who present with spinal pain. Peripheral inflammatory markers may not be elevated. MRI should be performed and patients should be treated with antibiotics alongside involvement of local microbiology and neurosurgical teams. Multidisciplinary discussion on CVC salvage in these cases is important, especially in cases of challenging vascular anatomy.