Validation of Malnutrition Clinical Characteristics in Critically Ill Patients

2024 Peggi Guenter excellence in clinical practice lectureship: From curiosity and eagerness to passion: Moving the malnutrition needle

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.

Development and validation of a nomogram for predicting the placement of nasointestinal tubes in critically ill patients based on abdominal radiography: A single-center, retrospective study

Background

Enteral nutrition administered via the nasointestinal tube (NET) is a prevalent nutritional modality among critically ill patients, and abdominal radiographs hold significant value in accurately ascertaining the precise positioning of the NET subsequent to its placement. Therefore, we propose an innovative approach to construct a clinical prediction model based on NET's configuration within the gastrointestinal tract in abdominal radiography. This model aims to enhance the accuracy of determining the position of NETs after their placement.

Methods

Patients admitted to the intensive care unit of Zhejiang Provincial People's Hospital between October 2017 and October 2021 were included to constitute the training cohort for retrospective analysis, and nomogram was constructed. Consecutively enrolled patients admitted to the same hospital from October 2021 to October 2023 were included as the validation cohort. The training cohort underwent a univariate analysis initially, followed by a multivariate logistic regression approach to analyze and identify the most appropriate model. Subsequently, nomogram was generated along with receiver operator characteristic curves, calibration curves, and decision curves for both the training and validation cohorts to evaluate the predictive performance of the model.

Results

The training and validation cohorts comprised 574 and 249 patients, respectively, with successful tube placement observed in 60.1 % and 76.3 % of patients, correspondingly. The predictors incorporated in the prediction maps encompass the "C-shape," the height of "inverse C-shape," showing the duodenojejunal flexure, and the location of the head end of the NET. The model demonstrated excellent predictive efficacy, achieving an AUC of 0.883 (95 % CI 0.855-0.911) and good calibration. Furthermore, when applied to the validation cohort, the nomogram exhibited strong discrimination with an AUC of 0.815 (95 % CI 0.750-0.880) and good calibration.

Conclusion

The combination of abdominal radiography and NET's configuration within the gastrointestinal tract enables accurate determination of NET placement in critically ill patients.

Multivariate analysis of factors associated with the successful prediction of initial blind placement of a nasointestinal tube in the stomach based on X-ray imaging: a retrospective, single-center study

BACKGROUND

Patients in the intensive care unit (ICU) are highly susceptible to malnutrition, and while enteral nutrition via nasogastric tube is the preferred method, there is a risk of inadvertent reflux and aspiration. Therefore, clinicians have turned to nasointestinal tubes (NET) for enteral nutrition as an alternative option. But the precise localization of NET presents an ongoing challenge. We proposed an innovative approach to provide a valuable reference for clinicians involved in NET placement.

METHOD

Data were obtained retrospectively from the medical records of adult patients with a high risk of aspiration or gastric feeding intolerance who had a NET placed in the ICU of Zhejiang Provincial People's Hospital between October 1, 2017, and October 1, 2023. The collected data were subjected to statistical analysis using SPSS and R software.

RESULT

There were 494 patients who met the inclusion and exclusion criteria. The first-pass success rate was 81.4% (n = 402). The success of a patient's initial NET placement was found to be associated with Angle SPC and Distance CP, as determined by univariate analysis (25.6 ± 16.7° vs. 41.9 ± 18.0°, P < 0.001; 40.0 ± 26.2 mm vs. 62.0 ± 31.8 mm, P < 0.001, respectively). By conducting a multivariate regression analysis, we identified a significant association between pyloric types and the success rate of placing NET (OR 29.559, 95%CI 14.084-62.038, P < 0.001).

CONCLUSION

Angle SPC, Distance CP, and the type of pylorus are independently associated with successful initial placement of NET. Besides, patients with the outside type of pylorus (OP-type) exhibit a higher rate of initial placement success.

Racial and ethnic demographics in malnutrition related deaths

BACKGROUND AND AIMS

Currently, 40 million Americans are food insecure. They are forced to skip meals and buy non-nutritious food, leading to health disparities for those of low socioeconomic status. This study aims to investigate relationships between malnutrition deaths and sociodemographic groups.

METHODS

This cross-sectional study from 2009 to 2018 used aggregate data from the CDC Wide-ranging Online Data for Epidemiologic Research (CDC Wonder). Patients with known race, gender, and Hispanic origin age ≥18 who died from malnutrition (E40-E46) were included. Place of death was grouped into home, inpatient medical facility, hospice facility, nursing facility/long-term care, other (including outpatient, ED, and DOA), and unknown. Crude rates of malnutrition deaths per 100,000 persons for race, gender, and Hispanic origin were calculated using US census estimates. Gross proportions of total deaths were calculated for each place of death.

RESULTS

Between 2009 and 2018, there were 46,517 malnutrition deaths in the US. Death rates for Black (1.8) and White Americans (2) were twice as high compared to Native Americans (1.1) and Asians or Pacific Islanders (0.7). Death rates among females (2.3) were higher than males (1.5). Death rates among non-Hispanics (2.1) were twice as high compared to Hispanics (0.7). Most people who died of malnutrition died in hospitals (37 %).

CONCLUSION

Malnutrition deaths occur at greater rates among White, Black, non-Hispanic Americans, and females. Despite reported disparities in food access, Black and White Americans have similar malnutrition mortality rates, raising concerns that malnutrition is under-diagnosed among Black patients. Given the existing nutrition literature, this finding requires further investigation.

Predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators to diagnose malnutrition tool in hospitalized adults: a cohort study

BACKGROUND

The lack of a widely accepted, broadly validated tool for diagnosing malnutrition in hospitalized patients limits the ability to assess the integral role of nutrition as an input and outcome of health, disease, and treatment.

OBJECTIVES

This study aimed to evaluate the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition (ASPEN) indicators to diagnose malnutrition (AAIM) tool and determine if it can be simplified.

METHODS

A prospective cohort study was conducted from August 2019 to September 2022 with 32 hospitals in United States. At baseline, 290 adult patients were evaluated for a diagnosis of malnutrition using the AAIM tool, which assesses weight loss, inadequate energy intake, subcutaneous fat and muscle loss, edema, and hand grip strength. Healthcare outcomes were extracted from the medical record: composite incidence of emergency department (ED) visits and hospital readmissions within 90 d postdischarge; length of hospital stay (LOS); and Medicare Severity Disease Related Group (MS-DRG) relative weight (i.e., healthcare resource utilization). We used multilevel, multivariable negative binomial or generalized linear regression models to evaluate relationships between malnutrition diagnosis and healthcare outcomes.

RESULTS

After adjusting for disease severity and acuity and sociodemographic characteristics, individuals diagnosed with severe malnutrition had a higher incidence rate of ED visits and hospital readmissions (incidence rate ratio: 1.89; 95% CI: 1.14, 3.13; P = 0.01), and individuals diagnosed with moderate malnutrition had a 25.2% longer LOS (95% CI: 2.0%, 53.7%; P = 0.03) and 15.1% greater healthcare resource utilization (95% CI: 1.6%, 31.9%; P = 0.03) compared with individuals with no malnutrition diagnosis. Observed relationships remained consistent when only considering malnutrition diagnoses supported by at least 2 of these indicators: weight loss, subcutaneous fat loss, muscle wasting, and inadequate energy intake.

CONCLUSIONS

Findings from this multihospital study confirm the predictive validity of the original or simplified AAIM tool and support its routine use for hospitalized adult patients. This trial was registered at clinicaltrials.gov as NCT03928548 (https://classic.

CLINICALTRIALS

gov/ct2/show/NCT03928548).

The association between reduced calf and mid-arm circumferences and ICU mortality in critically ill COVID-19 patients

BACKGROUND & AIMS

Patients with COVID-19 are at a high risk of malnutrition caused by inflammatory syndrome and persistent hypermetabolism, which may affect clinical outcomes. This study aimed to evaluate the changes in nutritional status indicators between two time points of nutritional assessments of COVID-19 patients during their stay in the intensive care unit (ICU). Moreover, the study also assessed the association of nutritional status with ICU mortality.

METHODS

This cohort study included retrospective data of adult patients admitted to a public hospital ICU in southern Brazil, between March and September 2020. These participants with confirmed COVID-19 diagnosis received nutritional assessment within the first 72 h after ICU admission. The anthropometric measurements collected included mid-arm circumference (MAC) and calf circumference (CC). The percentage (%) of MAC adequacy was calculated, and values < 50th percentile for sex and age were considered low. CC values of ≤33 cm for women and ≤34 cm for men were indicative of reduced muscle mass. Data on the date of discharge from the ICU and mortality outcome were collected.

RESULTS

A total of 249 patients were included (53.4% men, 62.2 ± 13.9 years of age, SOFA severity score 9.6 ± 3.5). Of these, 22.7 and 39.1% had reduced MAC and CC at ICU admission, respectively. In these participants, weight, MAC, CC, and % MAC decreased significantly from the first to second nutritional assessment (p < 0.05), but there was no significant difference between survivors and non-survivors. Patients with reduced CC (HR = 2.63; 95% CI 1.65-4.18) or reduced MAC (HR = 2.11; 95% CI 1.37-3.23) at the first nutritional assessment had approximately twice the risk of death in the ICU than those with normal CC and normal MAC, regardless of the severity assessed by the SOFA score and age.

CONCLUSION

Reduced MAC and CC values were identified in approximately 20 and 40% of COVID-19 patients admitted to the ICU, respectively. Additionally, these indicators of nutritional depletion were associated with an approximately 2-fold increase in the risk of ICU mortality. A significant reduction in anthropometric indicators during the first weeks of ICU stay confirmed the deterioration of nutritional status in these patients, although this was not associated with mortality.

Importance of nutritional assessment tools in the critically ill patient: A systematic review

Background

Among the risks of the critically ill patient, one of the aspects to be taken into account is the high probability of occurrence of malnutrition risk (40-50%). This process leads to increased morbimortality and worsening. The use of assessment tools allows the individualization of care.

Objective

To analyze the different nutritional assessment tools used during the admission of critically ill patients.

Methods

Systematic review of the scientific literature related to the nutritional assessment of critically ill patients. Between January 2017 and February 2022, articles were rescued from the electronic databases "Pubmed," "Scopus," "CINAHL" and "The Cochrane Library"; which will analyze which instruments are used during nutritional assessment in the ICU, as well as their impact on mortality and comorbidity of patients.

Results

The systematic review was made up of 14 scientific articles that met the selection criteria, obtained from seven different countries. The instruments described were: mNUTRIC, NRS 2002, NUTRIC, SGA, MUST and the ASPEN and ASPEN criteria. All the included studies demonstrated beneficial effects after nutritional risk assessment. mNUTRIC was the most widely used assessment instrument, with the best predictive validity for mortality and adverse outcomes.

Conclusion

The use of nutritional assessment tools makes it possible to know the real situation of patients, and by objectifying situations, to allow different interventions to improve the nutritional level of patients. The best effectiveness has been achieved using tools such as mNUTRIC, NRS 2002 and SGA.

Prognostic Nutritional Index and Oxygen Therapy Requirement Associated With Longer Hospital Length of Stay in Patients With Moderate to Severe COVID-19: Multicenter Prospective Cohort Analyses

Purpose

To evaluate whether the prognostic nutritional index (PNI) is related to the oxygen therapy requirement at hospital admission and to ascertain the prognostic effect of the PNI and the oxygen therapy requirement as predictors of hospital length of stay in patients with moderate to severe coronavirus disease 2019 (COVID-19).

Methods

This is a post-hoc analysis in hospitalized patients with moderate to severe COVID-19. The participants were categorized: (1) non-oxygen therapy (moderate COVID-19 not requiring oxygen therapy); (2) nasal cannula therapy (severe COVID-19 requiring nasal cannula oxygen therapy); and (3) high-flow therapy (severe COVID-19 requiring high-flow oxygen therapy). PNI was calculated for each patient according to the following equation: serum albumin [g/dL] × 10 + total lymphocyte count [per mm³] × 0.005. The participants were categorized into malnutrition (PNI <40), mild malnutrition (PNI 40-45), and non-malnutrition (PNI > 45).

Results

According to PNI, malnutrition was more prevalent in the high-flow therapy group (94.9%; P < 0.001) with significantly lower PNI compared to both groups even after adjusting for the center and C-reactive protein. Patients in the high-flow therapy group [9 days (95% CI 7.2, 10.7), P < 0.001] and malnutrition status [7 days (95% CI 6.6, 7.4), P = 0.016] showed a significant longer hospital length of stay compared to their counterparts. The multivariable Cox proportional hazard models showed significant associations between both oxygen therapy requirement and PNI categories and hospital discharge.

Conclusion

In addition to oxygen therapy requirement, low PNI was associated with longer hospital length of stay. Our findings suggest that PNI could be useful in the assessment of nutritional status related to the prognosis of patients with moderate to severe COVID-19.

Calf Circumference and All-Cause Mortality: A Systematic Review and Meta-Analysis Based on Trend Estimation Approaches

OBJECTIVES

To perform a systematic review and meta-analysis and quantify the associations of total mortality with calf circumference (CC) in adults 18 years and older via combining various analyses based on empirical dichotomic CC, continuous CC, and dose-response CC.

METHODS

We conducted a systematic search of relevant studies in PubMed, EMBASE, Cochrane Library, and Web of Science published through April 12, 2022. This systematic review includes longitudinal observational studies reporting the relationships of total mortality with CC. We calculated the pooled relative risk (RR) and 95% confidence interval (CI) of total mortality with CC per 1 cm for each study and combined the values using standard meta-analysis approaches. Newcastle-Ottawa scale (NOS), Grading of Recommendations, Assessment, Development and Evaluations approach (GRADE), and the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN) were assessed for meta-analyses.

RESULTS

Our analysis included a total of 37 cohort studies involving 62,736 participants, across which moderate heterogeneity was observed (I2=75.7%, P<0.001), but no publication bias was found. Study quality scores ranged from 6 to 9 (mean 7.7), with only three studies awarded a score of 6 (fair quality). We observed an inverse trend between total death risk and CC per 1 cm increase (RR, 0.95, 95% CI, 0.94-0.96; P<0.001; GRADE quality=high). Only a very slight difference was found among residents of nursing homes (6.9% mortality risk reduction per one cm CC increase), community-dwellers (5.4%), and those living in hospitals (4.8%), respectively (P for meta-regression=0.617). Low credible subgroup difference was found based on the ICEMAN tool.

CONCLUSIONS

Calf circumference is a valid anthropometric measure for mortality risk prediction in a community, nursing home, or hospital.

Key approaches to diagnosing malnutrition in adults

Nutrition assessment is used to describe nutrition status-related nutrition problems and their causes, one of which includes malnutrition. Four malnutrition diagnostic tools are currently in use today in adults: Subjective Global Assessment, the Mini Nutritional Assessment, the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition malnutrition consensus characteristics, and the Global Leadership Initiative on Malnutrition criteria. The aim of this article is to provide sufficient background of these methodologies to assist clinicians in choosing their approach in diagnosing malnutrition. There is substantial overlap between the criteria included in these malnutrition diagnostic approaches. A desired goal is to identify a core data set in order to evaluate malnutrition prevalence globally and to assess the impact of nutrition interventions on nutrition and clinical outcomes.