| Literature DB >> 36127715 |
Roland N Dickerson1, Laura Andromalos2, J Christian Brown3, Maria Isabel T D Correia4, Wanda Pritts5, Emma J Ridley6, Katie N Robinson7, Martin D Rosenthal8, Arthur R H van Zanten9,10.
Abstract
BACKGROUND: This review has been developed following a panel discussion with an international group of experts in the care of patients with obesity in the critical care setting and focuses on current best practices in malnutrition screening and assessment, estimation of energy needs for patients with obesity, the risks and management of sarcopenic obesity, the value of tailored nutrition recommendations, and the emerging role of immunonutrition. Patients admitted to the intensive care unit (ICU) increasingly present with overweight and obesity that require individualized nutrition considerations due to underlying comorbidities, immunological factors such as inflammation, and changes in energy expenditure and other aspects of metabolism. While research continues to accumulate, important knowledge gaps persist in recognizing and managing the complex nutritional needs in ICU patients with obesity. Available malnutrition screening and assessment tools are limited in patients with obesity due to a lack of validation and heterogeneous factors impacting nutrition status in this population. Estimations of energy and protein demands are also complex in patients with obesity and may include estimations based upon ideal, actual, or adjusted body weight. Evidence is still sparse on the role of immunonutrition in patients with obesity, but the presence of inflammation that impacts immune function may suggest a role for these nutrients in hemodynamically stable ICU patients. Educational efforts are needed for all clinicians who care for complex cases of critically ill patients with obesity, with a focus on strategies for optimal nutrition and the consideration of issues such as weight stigma and bias impacting the delivery of care.Entities:
Keywords: Critical illness; Malnutrition; Nutrition assessment; Nutrition therapy; Nutritional requirements; Obesity
Mesh:
Year: 2022 PMID: 36127715 PMCID: PMC9486775 DOI: 10.1186/s13054-022-04148-0
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 19.334
A review of guidelines and other consensus recommendations for nutritional management of patients with obesity in critical care
| Clinical area | Guideline recommendations | Ongoing challenges | Consensus recommendations |
|---|---|---|---|
| Performing malnutrition screening and assessment | Current tools are not validated for patients with obesity and may rely on imprecise measures, such as BMI | Assessment of patients with obesity should consider the possibility of underlying malnutrition, based on clinical reasoning, signs and symptoms of macro/micronutrient deficiencies, and poor muscle quality despite the presence of muscle mass | |
| Malnutrition may be underrecognized in patients with obesity | Monitor patients with obesity for refeeding syndrome over the course of treatment | ||
| Estimating energy needs | There is no consensus on how to estimate energy needs for critical care patients with obesity (ideal, actual, vs adjusted body weight) | IC is preferred to estimate energy needs among those with obesity in the ICU | |
| Predictive equations are easily calculated but were developed in populations without obesity | Predictive or weight-based equations should be only one aspect of a nutrition assessment, especially for patients with obesity | ||
| Review individual nutritional requirements and factors that influence energy needs on a regular basis to adjust intake | |||
| Manage patients with the intention of reducing net protein catabolism without concurrent feeding complications, worsening of physical function, or clinical outcomes when compared to withholding nutritional therapy | |||
| Estimating protein needs and recognizing and addressing risk of sarcopenic obesity | Clinicians may be unaware of risk of muscle mass loss in patients with obesity | Protein needs may be higher in critically ill patients with obesity | |
| Weight loss in critical illness may contribute to the loss of lean body mass rather than just fat mass | Individualized approach to nutritional and body composition assessments | ||
| A 24-h urine collection for a nitrogen balance determination may not be practical or feasible for some institutions | Frequently reassess clinical status and nutritional needs | ||
| Choosing the ideal nutritional regimen | Renal status and nitrogen balance should be carefully monitored with high-protein intake, especially for older patients or those with underlying kidney disease [ | Consider an individualized approach to nutritional management that achieves a higher protein intake without overfeeding | |
| Maintain an individualized approach that recognizes changing nutritional needs over the course of illness | |||
| Using IMN | Obesity creates a pro-inflammatory environment. The ability of nutrition to modulate this inflammation in patients with obesity is unclear | It is unclear whether IMN would be beneficial for routine use among ICU patients with obesity. However, IMN is suggested for routine use in patients with TBI and in the surgical ICU. Additionally, IMN should be considered for patients with severe trauma [ |
ASPEN American Society for Parenteral and Enteral Nutrition, BMI body mass index, CT computed tomography, ESPEN European Society for Clinical Nutrition and Metabolism, IC indirect calorimetry, ICU intensive care unit, IMN immunonutrition, SCCM Society of Critical Care Medicine, TBI traumatic brain injury
Fig. 1Factors complicating the care of critically ill patients with obesity. Created with BioRender.com
Selected malnutrition screening and assessment tools and limitations to their application in patients with obesity
| Screening | Attributes/benefits | Limitations |
|---|---|---|
| Malnutrition screening tool (MST) | Risk is calculated based on whether the patient lost weight without trying, the amount of weight loss, and poor appetite, so it is quick and straightforward to administer | Does not consider body composition changes, only recent weight loss |
| Does not rely on low BMI as an indicator | Requires self-reported data from the patient, so not ideal for those who are unable to communicate | |
| Endorsed by AND. Received a “good/strong” rating compared with other tools that only received a fair evidence grade; recommended regardless of patient age or practice setting [ | ||
| Malnutrition universal screening tool (MUST) | Risk is calculated based on BMI, unplanned weight loss, and acute disease effect, therefore quick and straightforward | Relies on BMI without considering body composition changes; not sensitive for patients with obesity [ |
| Weight loss is described as “unplanned;” may have been “planned” by patient through unhealthy practices or secondary to acute illness that may not be captured | ||
| Requires patient-reported data; not ideal for those who are unable to communicate | ||
| Not specific to critical illness; lower prognostic value in predicting 28-day mortality than the modified NUTrition Risk in the Critically ill (mNUTRIC) score [ | ||
| Modified NUTrition risk in the critically ill (mNUTRIC) score | Risk based on age, comorbidities, Acute Physiology and Chronic Health Evaluation II score, Sequential Organ Failure Assessment score, days in hospital before ICU admission; interleukin-6 may or may not be added | Intended to identify patients who would most benefit from nutrition support, not necessarily those with malnutrition |
| Does not rely on low BMI as an indicator | More difficult to calculate | |
| Does not require self-reported data from the patient | ||
| Familiar in a range of practice settings | ||
| Endorsed by 2016 ASPEN/SCCM guidelines [ | ||
| Nutrition risk score 2002 | Risk based on weight loss or low BMI, reduced food intake, and severity of disease, therefore quick and straightforward | Intended to identify patients who would most benefit from nutrition therapy, not necessarily those with malnutrition |
| Endorsed by 2016 ASPEN/SCCM guidelines [ | Relies on BMI and weight change without considering body composition changes | |
| Nutrition-focused physical exam (NFPE) | AND and ASPEN recommend six criteria be assessed to identify malnutrition: weight loss, reduction in dietary intake, subcutaneous fat loss, loss of muscle mass, fluid accumulation, and declining functional status. If two or more are present, a nutrition diagnosis of malnutrition is supported [ | Requires training/expertise |
| Does not rely on low BMI as an indicator | May be more challenging if a baseline NFPE is not available to compare to | |
| AND and ASPEN endorse the NFPE to collect certain criteria (loss of fat and muscle mass and edema) for the nutrition diagnosis of malnutrition [ | NFPE may be more difficult in patients with generalized edema | |
| The NFPE may also be modified to assess for clinical signs of micronutrient deficiencies | Excess adiposity may present barriers to accurately assessing muscle or fat mass loss | |
| Subjective global assessment (SGA) and patient-generated SGA | Assessment criteria include weight, weight history, food intake, symptoms that may impact dietary intake, activities/function, comorbidities, metabolic factors, and physical exam | Requires training because as indicated, it is subjective |
| Does not rely on low BMI as an indicator | May rely on patient-reported data; not ideal for those who are unable to communicate | |
| Based on clinical reasoning; has been used in various settings, including ICU, with good predictivity for complications and mortality | Excess adiposity may present barriers to accurately assessing muscle or fat mass | |
| Global Leadership Initiative on Malnutrition (GLIM) | Assessment criteria include factors that may contribute to etiology of malnutrition (inflammation and reduced dietary intake or assimilation) and phenotypic criteria (non-volitional weight loss, low BMI, and reduced muscle mass) [ | Low BMI has been reported to be one of the most often used criterion
[ |
| Muscle mass may be assessed through “dual-energy absorptiometry (DXA) or corresponding standards using other body composition methods like bioelectrical impedance analysis (BIA), CT, or MRI. When not available or by regional preference, physical examination or standard anthropometric measures like mid-arm muscle or calf circumferences may be used.” [ | Weight loss is described as “non-volitional;” therefore, weight loss that may have been “volitional” by the patient but achieved through unhealthy practices or secondary to acute illness may not be captured | |
| The preferred measurements of muscle mass–DXA, CT, and MRI–may not be feasible or available for many ICU patients | ||
| Anthropometry | Inexpensive | Influenced by edema and assessor technique |
| Easily conducted in clinical setting | Patient positioning may make accurate assessment challenging | |
| Cutoff values do not consider obesity | ||
| Unable to differentiate adipose from muscle tissue | ||
| Bioimpedance | Easily conducted in clinical setting | Influenced by hydration |
| Limited in assessing those with obesity | ||
| Ultrasonography | Easily conducted in clinical setting, assesses muscle mass | Requires expertise and training |
| May be difficult to assess muscle according to the amount of adiposity | ||
| Tomography and magnetic resonance | Provides detailed information on muscle mass | Expensive |
| Inconvenient methods | ||
| May not be feasible or available for many ICU patients | ||
| Biochemical parameters (albumin, transthyretin) | Commonly available | Influenced by hydration and inflammation and therefore, not an accurate measure of nutrition status in many ICU patients |
| Inexpensive | ||
| Dynamometry | Assesses muscle functionality | Not feasible in many ICU patients due to sedation and neuromuscular blockade |
| May be less informative if a baseline measurement is not available to compare to |
AND Academy of Nutrition and Dietetics, ASPEN American Society for Parenteral and Enteral Nutrition, BMI body mass index, CT computed tomography, ICU intensive care unit, MRI magnetic resonance imaging