Nutrition in Clinical Practice最新文献

Background: The aim of the study was to investigate the frequency of malnutrition in hospitalized children and compare national growth standards with World Health Organization (WHO) standards.

Methods: After obtaining height, weight, and mid-upper arm circumference values for 250 children aged 1 month to 5 years, nutrition status was assessed separately according to Neyzi and WHO standards. Weight-for-age z score (WAZ), weight-for-height z score (WHZ), height-for-age z score (HAZ), and mid-upper arm circumference z score (MUACz) were calculated based on age. Patients with WHZ < -2 were considered to have acute malnutrition, while those with HAZ < -2 were considered to have chronic malnutrition per WHO's definition.

Results: According to the WHO and Neyzi standards, the z scores were as follows: WAZ (-0.53 ± 1.54/-0.61 ± 1.52), HAZ (-0.42 ± 1.61/-0.45 ± 1.38), WHZ (-0.33 ± 1.26/none), MUACz (-0.58 ± 1.31/none). The difference between WAZ scores for the two standards was highly significant (P = 0.0001), whereas the difference between HAZ scores didn't reach statistical significance (P = 0.052). In our study when evaluated according to WHO standards, the prevalence of acute and chronic malnutrition was 9.6% and 13.6%, respectively. The prevalence of chronic malnutrition in those aged <2 years was higher than in the 2-5 years age group (16.8% and 4.5%, respectively; P = 0.012).

Conclusion: There were highly significant differences in the assessment of malnutrition between the WHO and national Neyzi according to WAZ standards, contradicting the claim that WHO curves can be universally applicable. The high rates of acute and chronic malnutrition in our study indicate that malnutrition remains a significant nutrition problem in our country.

Background: Ethical competencies dealing with decision-making for clinicians involved in artificially administered nutrition and hydration (AANH) have not been defined in the literature. Although clinical assessments identify nutrition needs and appropriate routes of nutrition administration, an assessment of the ethical, cultural, and spiritual implications of the medical nutrition therapy may be overlooked.

Methods: Eleven competency statements were developed by members of two international sections of the American Society for Parenteral and Enteral Nutrition. This descriptive cross-sectional survey study was conducted to measure the importance of the competency statements to the membership of two sections using a five-point Likert scale of 1-5 (1-low to 5-high).

Results: A total of 113 responses (12.5% response rate) were obtained predominantly from physicians and dietitians from 25 countries. There was a wide range of world regions of the 49% respondents outside of the United States. Means and SDs were calculated for agreement with the 11 competency statements with overall means ranging from 4.32 to 4.67. Most of the participants cared for adult/older adult patients (63.7%) exclusively, and 12.4% cared for pediatric/neonate patients exclusively; the remainder (23.9%) cared for both populations. Respondents reported they were either experienced, competent, or expert (88.6%) in dealing with ethical issues related to AANH.

Conclusion: This international interdisciplinary group agreed that the integration of ethical, cultural, and spiritual competencies into clinical decision-making regarding artificially AANH is important.

Background: Phase angle (PhA) correlates with body composition and could predict the nutrition status of patients and disease prognosis. We aimed to explore the feasibility of predicting PhA-diagnosed malnutrition using facial image information based on deep learning (DL).

Methods: From August 2021 to April 2022, inpatients were enrolled from surgery, gastroenterology, and oncology departments in a tertiary hospital. Subjective global assessment was used as the gold standard of malnutrition diagnosis. The highest Youden index value was selected as the PhA cutoff point. We developed a multimodal DL framework to automatically analyze the three-dimensional (3D) facial data and accurately determine patients' PhA categories. The framework was trained and validated using a cross-validation approach and tested on an independent dataset.

Results: Four hundred eighty-two patients were included in the final dataset, including 176 with malnourishment. In male patients, the PhA value with the highest Youden index was 5.55°, and the area under the receiver operating characteristic curve (AUC) = 0.68; in female patients, the PhA value with the highest Youden index was 4.88°, and AUC = 0.69. Inpatients with low PhA had higher incidence of infectious complications during the hospital stay (P = 0.003). The DL model trained with 4096 points extracted from 3D facial data had the best performance. The algorithm showed fair performance in predicting PhA, with an AUC of 0.77 and an accuracy of 0.74.

Conclusion: Predicting the PhA of inpatients from facial images is feasible and can be used for malnutrition assessment and prognostic prediction.

Background: Mid-upper arm circumference (MUAC) is a simple anthropometric tool used to screen for childhood undernutrition in humanitarian settings or low-income and middle-income countries. However, there is conflicting evidence and a lack of consensus with regard to its diagnostic use in clinical settings or population groups beyond this context. In 2023, a project officer was appointed by the Australasian Society of Parenteral and Enteral Nutrition (AuSPEN) to lead the development of a consensus review into the use of MUAC in the pediatric clinical setting.

Methods: An AuSPEN appointed multidisciplinary group of informed clinicians used the Delphi method to critically appraise the evidence and develop a series of consensus statements. Delphi surveys were anonymous and distributed electronically. Members were asked to rate their level of agreement with each consensus statement using a 5-point Likert scale. A priori definition of consensus was established as ≥80% responses "agree" or "strongly agree."

Results: Three Delphi rounds were required to reach consensus. A total of 18 consensus statements, including rationale, were developed across the topics 'assessment and diagnosis', 'screening and monitoring' and 'clinical settings'.

Conclusion: An evidence-based, region-specific consensus approach to the use of MUAC in pediatric malnutrition is a valuable tool for clinicians. MUAC is a straightforward, non-invasive and cost-effective tool, and may provide an advantage over traditional anthropometric tools in some clinical settings. There are limitations to the utility of MUAC and this consensus paper provides an empirical summary of advantages and limitations as they apply to the screening, assessment, diagnosis, and monitoring of pediatric malnutrition.

Most every new clinician practicing in nutrition support enters their practice environment with wide open eyes and a sense of curiosity as they encounter new patient and clinical experiences. As clinicians expand their expertise, they often identify challenges they are eager to address. Eagerness turns to passion as the desire to affect change grows. Malnutrition has sparked curiosity and interest in many, and, in some, it has become a passion. As a result, many major achievements have occurred both in the United States and globally that have the capability of moving the needle favorably to achieve better outcomes for our patients. This lecture will highlight how curiosity, eagerness, and passion have led to successes in addressing aspects of malnutrition. These successes offer the structure to continue our efforts to move the needle forward. Our patients deserve nothing more.

Background: Several screening tools have been developed to identify sarcopenia. However, data on the use of these screening tools in hospital settings are limited. This study assessed the diagnostic accuracy of three screening methods-strength, assistance walking, rising from a chair, climbing stairs, and falls (SARC-F); SARC-F combined with calf circumference (SARC-CalF); and the Ishii tests-for detecting sarcopenia in older individuals who are hospitalized.

Methods: This study included 204 older people who were hospitalized. Sarcopenia was assessed relative to the diagnostic criteria established by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). Muscle mass, muscle strength, and physical performance were evaluated using bioimpedance analysis, handgrip strength, and usual gait speed, respectively. Sensitivity and specificity analyses were conducted for the SARC-F, SARC-CalF, and Ishii tests to determine their effectiveness. Receiver operating characteristics curves were generated, and the area under curve was calculated to compare the overall diagnostic accuracy of the SARC-F, SARC-CalF, and Ishii tests.

Results: The SARC-F, SARC-CalF, and Ishii tests demonstrated sensitivities of 72%, 88.6%, and 93.5%, respectively, and specificities of 41%, 78.5%, and 30.3%, respectively.

Conclusions: SARC-CalF demonstrates the highest performance in terms of sensitivity and specificity compared with the other two tests, making it a valuable tool for detecting sarcopenia in hospital settings. In contrast, the Ishii test exhibits high sensitivity but low specificity within this population. Based on our results, we found that SARC-CalF can be used as a simple, effective test for identifying sarcopenia in older patients in the hospital setting.

Background: The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological framework for nutrition diagnosis. However, the applicability of the GLIM criteria in patients with acute abdomen has not been validated.

Methods: This is a cross-sectional study conducted on patients diagnosed with acute abdomen and admitted to a tertiary hospital in southwest China. Nutrition risk screening was conducted using the Nutrition Risk Screening 2002, and patients identified with nutrition risk were assessed for malnutrition based on the GLIM criteria.

Results: We enrolled a total of 440 patients with acute abdomen. The top three diagnoses of acute abdomen were intestinal obstruction (47.2%), acute appendicitis (23.1%), and digestive system perforation (8.8%). The prevalence of nutrition risk was 46.5%, with a malnutrition rate of 32.5% based on the GLIM. Patients with malnutrition according to the GLIM showed significantly higher rates of intensive care unit (ICU) admission (13.28% vs 7.07%; P = 0.003), increased hospitalization costs (median: 3315USD [interquartile range (IQR): 978-7852] vs 1641 [IQR: 816-3523] USD; P < 0.001), and longer length of hospital stay (LOS) (median: 8 [IQR: 5-13] vs 6 [IQR: 4-8] days; P < 0.001) compared with patients without malnutrition. Multivariate analysis indicated that GLIM-defined malnutrition was an independent predictor of hospitalization costs, and severe malnutrition was an independent predictor of ICU admission.

Conclusion: GLIM criteria are applicable for diagnosing malnutrition in patients with acute abdomen. The prevalence of malnutrition was high in patients with acute abdomen. Malnutrition was associated with increased ICU admission and LOS, along with higher economic burden.

Background: Nutrition screening on admission is critically important to systematically identify patients with undernutrition given the known relationship with deleterious clinical outcomes. Limited data exist regarding optimal processes and criteria for pediatric nutrition screening. Therefore, we sought to characterize nutrition screening practices in pediatric hospitals.

Methods: A total of 365 inpatient pediatric hospitals in the United States were identified, eligible, and contacted. Eligible hospitals included general pediatric hospitals, adult hospitals with pediatric units, and specialty pediatric hospitals. One respondent at each eligible hospital was asked to complete a 33-question survey of admission nutrition screening practices.

Results: Of 268 survey respondents, 37% represented pediatric units in adult hospitals, 35% general pediatric hospitals, and 28% pediatric specialty or psychiatric hospitals. A total of 98.5% endorsed the existence of a screening process on admission. Anthropometrics (eg, body mass index z score, 84%) and nutrition status (eg, change in intake, 67%) were the most common screening criteria applied. A nutrition screening instrument was used in 37% of institutions, and only 31% of institutions reported using pediatric-specific screening instruments. Pediatric units within adult hospitals were 1.38 times more likely to use a screening instrument validated in any population. Barriers to nutrition screening included the lack of a standard screening procedure and insufficient staff to conduct screening. Fifty-four percent of respondents reported a desire to change their hospital's nutrition screening process.

Conclusion: Most pediatric hospitals screen for nutrition risk on admission. However, methods and criteria varied widely across pediatric hospitals, highlighting the importance of standardized best practices.

Information on the use of validated malnutrition risk screening tools in pediatric facilities to guide malnutrition identification, diagnosis, and treatment is scarce. Therefore, a survey of pediatric healthcare facilities and practitioners to ascertain malnutrition risk screening practices in North America was conducted. A pediatric nutrition screening practices survey was developed and sent to members of the American Society for Parenteral and Enteral Nutrition, the Council for Pediatric Nutrition Professionals and the Academy of Nutrition and Dietetics Pediatric Nutrition Practice Group. Respondents represented 113 pediatric hospitals in the United States and six in Canada, of which 94 were inpatient and 59 were outpatient. Nutrition risk screening was completed in 90% inpatient settings, and 63% used a validated screening tool. Nurses performed most malnutrition risk screens in the inpatient setting. Nutrition risk screening was reported in 51% of outpatient settings, with a validated screening tool being used in 53%. Measured anthropometrics were used in 78% of inpatient settings, whereas 45% used verbally reported anthropometrics. Measured anthropometrics were used in 97% outpatient settings. Nutrition risk screening was completed in the electronic health record in 80% inpatient settings and 81% outpatient settings. Electronic health record positive screen generated an automatic referral in 80% of inpatient and 45% of outpatient settings. In this sample of pediatric healthcare organizations, the results demonstrate variation in pediatric malnutrition risk screening in North America. These inconsistencies justify the need to standardize pediatric malnutrition risk screening using validated pediatric tools and allocate resources to perform screening.

Malnutrition in patients with obesity presents a complex and often overlooked clinical challenge. Although obesity is traditionally associated with overnutrition and excessive caloric intake, it can also coincide with varying degrees of malnutrition. The etiopathogenesis of obesity is multifaceted and may arise from several factors such as poor diet quality, nutrient deficiencies despite excess calorie consumption, genetics, and metabolic abnormalities affecting nutrient absorption and utilization. Moreover, a chronic low-grade inflammatory state resulting from excess adipose tissue, commonly observed in obesity, can further exacerbate malnutrition by altering nutrient metabolism and increasing metabolic demands. The dual burden of obesity and malnutrition poses significant risks, including immune dysfunction, delayed wound healing, anemia, metabolic disturbances, and deficiencies in micronutrients such as vitamin D, iron, magnesium, and zinc, among others. Malnutrition is often neglected or not given enough attention in individuals with obesity undergoing rapid weight loss through aggressive caloric restriction, pharmacological therapies, and/or surgical interventions. These factors often exacerbate vulnerability to nutrition deficiencies. We advocate for healthcare practitioners to prioritize nutrition assessment and initiate medical intervention strategies tailored to address both excessive caloric intake and insufficient consumption of essential nutrients. Raising awareness among healthcare professionals and the general population about the critical role of adequate nutrition in caring for patients with obesity is vital for mitigating the adverse health effects associated with malnutrition in this population.