1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Find articles by Carlos Serón-Arbeloa1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Find articles by Lorenzo Labarta-Monzón2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
3 Clinical Analysis and Biochemistry Service, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@ozupj
Find articles by José Puzo-Foncillas1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Find articles by Tomas Mallor-Bonet1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Find articles by Alberto Lafita-López1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
Find articles by Néstor Bueno-Vidales2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain
4 Unit of Gastroenterology, Hepatology, and Nutrition, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain
Find articles by Miguel Montoro-Huguet Patrick R.M. Lauwers, Academic Editor1 Intensive Care Unit, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@atrabalj (L.L.-M.); moc.liamg@rollam.samot (T.M.-B.); moc.liamg@otrebla.atifal (A.L.-L.); moc.liamg@eubsen (N.B.-V.)
2 Faculty of Health and Sports Sciences, University of Zaragoza, 50009 Zaragoza, Spain3 Clinical Analysis and Biochemistry Service, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain; se.razinu@ozupj
4 Unit of Gastroenterology, Hepatology, and Nutrition, Department of Medicina, University Hospital San Jorge, 22004 Huesca, Spain
Received 2022 May 3; Accepted 2022 Jun 6. Copyright © 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.
Keywords: nutrition screening tools, malnutrition, nutritional assessmentNutrition is a basic life process that consists of taking in nutrients from our environment and using them to perform our vital functions including growth, reproduction, and the maintenance of our body, in sickness and in health. The nutritional stages are ingestion, digestion, absorption, transport, assimilation, and excretion of the waste products.
Malnutrition is a major health problem that can be caused by a primary situation, such as poverty, due to lack of food, or by a secondary situation, resulting from disease. Different mechanisms can be involved in secondary malnutrition: reduced intake because of the anorexia that accompanies the disease, and the metabolic stress caused by that, or as a consequence of the different treatments. This response to stress speeds up the metabolism, causing a hormonal imbalance that leads to an increase in protein catabolism, which consumes our protein reserves, altering the function of different organs and the activity of our immune defenses.
According to ESPEN, malnutrition, or undernutrition, is defined as “a state resulting from lack of intake or uptake of nutrition that leads to altered body composition (decreased fat free mass) and body cell mass leading to diminished physical and mental function and impaired clinical outcome from disease”. It can result from undernutrition, with or without catabolism, produced by the inflammatory state of both acute and chronic diseases. [1]. Paraphrasing Soeters: “Malnutrition is a subacute or chronic state of nutrition, in which a combination of varying degrees of undernutrition and inflammatory activity has led to changes in body composition and diminished function” [2].
Malnutrition is prevalent in many diseases, and especially in hospitalized patients, institutionalized elderly patients, and chronic patients [3]. The incidence of malnutrition in hospitalized patients is quantified at between 20% and 50%, depending on the diagnostic method used [4]. The consequences of malnutrition are a reduction in quality of life, as well as an increase in morbidity, the appearance of infections, poor wound healing, functional alterations in immune defense, a reduction in overall muscle strength, especially in pulmonary ventilation, and increased mortality, length of hospital stay, and hospital costs [5,6,7,8,9]. However, malnutrition is preventable if the problem is diagnosed early. Unfortunately, this is often not the case, due to poor awareness, information and knowledge, or a lack of protocols in place to identify it.
A systematic approach to addressing malnutrition in hospitals should begin with a nutritional risk assessment of all patients at admission, followed by a detailed assessment of the nutritional status of patients most at risk [10]. An appropriate nutritional intervention, tailored to the individual needs of patients identified as malnourished or at nutritional risk, should be implemented. Unfortunately, although the need for this process is fully acknowledged, it is not systematically implemented [11]; 21,000 patients from 325 hospitals in 25 European countries are included in a study by the “NutriDay” survey, with the results showing that only 52% (ranged between 21% and 73%) of the hospitals in the different regions have a detection routine [12]. Similar results are obtained in a clinical audit to establish the gap between practice and best practice in activities related to nutritional screening and assessment in New South Wales hospitals [13].
Although a wide range of tools, such as imaging, and functional and biological markers for malnutrition, are available, the objective measurement of the malnutrition domains is hampered by limitations intrinsic to the screening and assessment tools, such as interobserver variability, difficult reproducibility, technician experience, some tools are time consuming, other techniques are expensive, not all tools are validated, etc. Furthermore, the heterogeneity of the populations being evaluated, as well as the setting in which malnutrition is being investigated, impacts the definition of “gold standard” screening and assessment techniques being systematically adopted.
The aim of this review is to show the most widely used methods for nutritional screening to identify individuals at risk of malnutrition with different diseases, and the methods then used for the assessment of the nutritional status of the at-risk patients.
This is a literature review about nutritional screening and nutritional assessment tools. The bibliographic survey was carried out in the following databases: Publisher Medline (PubMed), Cochrane Library, Embase, and Web of Science (WOS). For the search, descriptors were identified in the Medical Subject Headings (Mesh), available from the US National Library of Medicine (http://www.nlm.nih.gov/mesh/, accessed on 1 April 2020). The descriptors used were “Nutrition Assessment”, “Nutritional status”, “Assessment of nutritional status”, “Nutrition screening”, and “Nutrition screening tools”, which were combined through the Boolean OR and AND operators. There was no restriction on the year of publication of the studies, so that there was no loss of important data.
The eligibility criteria were review, systematic review, meta-analysis, original studies, adults and/or elderly patients (aged over 18 years), and written in English or Spanish. A lateral search was also conducted, whereby the reference lists of relevant articles were searched for additional publications.
Malnutrition continues to be an under-recognized, under-diagnosed, and, hence, under-treated problem. Therefore, it must be detected early and quickly, in order to put in place re-nutrition interventions and/or treat the underlying causes or contributory factors [14].
Nutritional screening is defined in a similar way according to both the American Society of Parenteral and Enteral Nutrition (ASPEN) [15,16] and the European Society for Clinical Nutrition and Metabolism (ESPEN) [1]: as a process to identify an individual who is malnourished, or at risk of malnutrition, to determine if a detailed nutritional assessment is required.
Nutritional risk detection tools are of major help in the daily routine to detect potential or manifested malnutrition in a timely fashion. These tools should be quick and easy to use, economical, standardized, and validated. Screening tools must be sensitive, specific, and reproducible. They should be applied in the first 24 to 48 h after admission and, in view of the nutritional deterioration associated with time in hospital, be repeated at regular intervals [17]. Screening methods must include at least three aspects: involuntary weight loss, inadequate nutrition, and the individual’s functional capacity. They should also include the existence of disease-associated metabolic stress.
The choice of screening method depends on the available infrastructure and resources, the possibility of automation, and the healthcare setting, among others. Thus, the European Society of Parenteral and Enteral Nutrition (ESPEN) generally recommends using Nutritional Risk Screening 2002 (NRS-2002) in hospitalized patients, the Malnutrition Universal Screening Tool (MUST) at the community level, and the first part of the Mini Nutritional Assessment (MNA-SF) in the elderly population [18].
It is important that each screening method is only used for the particular patient groups in which its validity and reliability are demonstrated. Although there is no “gold standard”, validity was established by comparing different methods, such as anthropometric measurements; other more comprehensive assessment tools, such as the MNA and the subjective global assessment (SGA) form; or objective assessment by experienced professionals. Reviews of the validity and reliability of screening tools [17,19] conclude that more than one method should be used to assess nutritional status, as none of the current tools are sufficiently reliable to determine patients’ nutritional status in the range of different situations potentially encountered [20]. Depending on the screening tools used, the proportion of patients nutritionally at risk varies [21,22,23,24].
MNA-SF is the short form of the MNA used in nutritional screening. Full form (see below) is used for nutritional assessment. This short form includes only six elements that demonstrate the greatest consistency, sensitivity, and specificity in relation to the full form of the MNA and conventional nutritional assessment. Therefore, it is faster and easier to perform than the full version. It includes food intake issues, weight loss, mobility, the existence of acute disease, neuropsychological stress, and BMI. If the total score is 11 points or less, out of a total of 14 points, the patient is at risk of malnutrition or is malnourished, and the full nutritional assessment version should be administered. According to its authors, 80% of patients rated as being at nutritional risk with this tool are malnourished according to the full nutritional evaluation [25].
It is a useful screening tool for elders, is associated with poor clinical outcomes, and is able to predict functional decline [26,27,28,29]. MNA-SF appears to be the most appropriate nutrition screening tool for use in older adults [30]. Available online: https://www.mna-elderly.com/sites/default/files/2021-10/MNA-english.pdf (accessed on 1 April 2022).
This tool was developed by the British Association for Parenteral and Enteral Nutrition (BAPEN) [31].
It classifies patients into malnutrition risk levels based on BMI, the existence of a history of involuntary weight loss, and the likelihood of future weight loss secondary to acute illness, conditioning the absence of food intake for more than 5 days. Each item is valued from 0 to 2 points as follows: body mass index (BMI) > 20 kg/m 2 = 0; 18.5–20 kg/m 2 = 1; 10% = 2; acute illness and its relation to food intake in the following five days, absence = 0; presence = 2. Low-risk patients are classified = 0 points; medium risk = 1 point; and high risk ≥ 2 points.
MUST is a popular screening tool for all types of hospitalized patients [32,33,34,35]; ESPEN recommends its use at community level [18], and its reliability is similar to that of the MNA in screening for nutritional risk in geriatric populations [36]. It can predict the length of hospital stay, the possibility of being discharged to other hospitals or long-stay centers, possibility of readmission, and it can monitor progress once the nutritional intervention has begun. It is shown to be fast and reproducible [37,38]. Available online at https://www.bapen.org.uk/images/pdfs/must/spanish/must-toolkit.pdf (accessed on 1 April 2022).
This tool was developed in the Netherlands. It consists of three questions: if there has been weight loss (more than 6 kg in the last 6 months, or more than 3 kg in the last month), loss of appetite, and if the patient required nutritional supplementation in the last month. The responses to each question are reported on a scale ranging from “very bad” to “very good”, with a final score of 1 to 5. A score of 2 indicates moderate malnutrition, and 3 or more points denote severe malnutrition [39].
SNAQ is quick and easy to implement, and does not require specialized equipment. ( Table 1 ).
Simplified Nutritional Appetite Questionnaire.
Questions | Points |
---|---|
Did you lose weight unintentionally? | |
More than 6 kg in the last 6 months | 3 |
More than 6 kg in the last 3 months | 2 |
Did you experience a decreased appetite over the last month? | 1 |
Did you use supplemental drinks or tube feeding over the last month? | 1 |
NRS-2002 [40] was developed from 128 studies on the effectiveness of nutritional support geared towards identifying under-nourished patients who would probably respond adequately to nutritional support.
Nutritional Risk Screening (NRS-2002).
Impaired Nutritional Status | Severity of Disease (Stress Metabolism) | ||
---|---|---|---|
Absent score 0 | Normal nutritional status | Absent score 0 | Normal nutritional requirements |
Mild score 1 | Weight loss 45% in 3 months or Food intake below 50–75% of normal requirement in preceding week | Mild score 1 | Hip fracture; chronic patients, in particular with acute complications: cirrhosis; COPD; chronic hemodialysis, diabetes, oncology |
Moderate score 2 | Weight loss 45% in 2 months or BMI 18.5–20.5 + impaired general condition or Food intake 25–50% of normal requirement in preceding week | Moderate score 2 | Major abdominal surgery; stroke; severe pneumonia, hematologic malignancy |
Severe score 3 | Weight loss >5% in 1 month >15% in 3 months or Body Mass Index of 18.5 + impaired general condition or Food intake 0–25% of normal requirement in preceding week | Severe score 3 | Head injury; bone marrow transplantation; intensive care patients (APACHE 10) |
Calculate the total score: 1. Find score (0–3) for impaired nutritional status (only one: choose the variable with highest score) and severity of disease (stress metabolism, i.e., increase in nutritional requirements); 2. Add the two scores (total score); 3. If age ≥ 70 years: add 1 to the total score to correct for frailty of elderly patients; 4. If age-corrected total =>3: start nutritional support.
Developed in 1999 by Ferguson et al., this is a quick and easy screening tool that includes questions about appetite, nutritional intake, and recent weight loss. A score of equal to or greater than 2, out of a total of 7, suggests the need for a nutritional assessment and/or intervention [46].
It is recommended for hospitalized, outpatient, and institutionalized adult patients [47]. ( Table 3 ).
Malnutrition Screening Tool (MST).
Have you lost weight recently without trying? | |
No | 0 |
Unsure | 2 |
If yes, how much weight (kilograms) have you lost? | |
1–5 | 1 |
6–10 | 2 |
11–15 | 3 |
>15 | 4 |
Unsure | 2 |
Have you been eating poorly because of a decreased appetite? | |
No | 0 |
Yes | 1 |
Total | |
Score of 2 or more = patient at risk of malnutrition. |
This model was developed by Heyland et al., in 2011 to identify critically ill patients who are likely to benefit from an intensive nutritional intervention. The model seeks to integrate the absence of food intake, whether acute or chronic (recent reduction in food intake and hospital stay), inflammation (by means of interleukin-6, and the presence of comorbidities), nutritional status, and outcomes. It also includes the values of the Sequential Organ Failure Assessment (SOFA) and the Acute Physiology and Chronic Health Evaluation (APACHE II) [48]. It was subsequently modified (modified NUTRIC score), and the IL-6 value was removed, since the score presents similar validity and reliability without it [49] (see Table 4 ).