J Korean Soc Geriatr Neurosurg > Volume 21(2); 2025 > Article
Lee and Jo: Optimizing nutritional support in older neurocritical care patients

Abstract

As life expectancy is increasing worldwide, malnutrition and dehydration are becoming more prevalent in older adults and are exacerbated by changes in gastrointestinal function. The increase in severe brain injuries leading to intensive care unit (ICU) admission in this population presents distinct nutritional challenges. This review consolidates the existing literature and expert opinions on nutritional support tailored for older patients in neurocritical care, focusing on countering the hypercatabolic states caused by severe brain injuries. These patients often experience elevated stress hormone levels and systemic inflammation, leading to complications, extended ICU stays, and a higher risk of mortality. Effective nutritional strategies must consider the unique metabolic needs of neurons and the impact of various neurocritical care treatments, including sedation, barbiturates, and targeted temperature management, on energy demands. This review highlights the need for neurointensivists to understand the physiological changes associated with aging and acute brain conditions. Given the lack of focused research on nutritional support for these patients, more studies are needed to develop evidence-based nutritional strategies for this vulnerable population.

Introduction

As life expectancy increases globally, more older patients experience acute neurological injuries (ANIs) and are admitted to neurocritical care units (NCCUs). Aging leads to significant physiological changes that compromise nutritional status, including decreased gastrointestinal (GI) motility and enzyme secretion, affecting hydration and nutrition [1,2]. These factors, along with iatrogenic malnutrition, escalate mortality risks in these settings.
Patients in NCCUs face unique challenges, such as specialized neurovascular supply, including the blood-brain barrier and specific metabolic traits of neurons. They require extended and specific treatments that influence metabolic demands, such as sedatives and hypothermia, which can extend for days and prolong the metabolic response up to weeks after admission [3,4].
The role of neurointensivists includes crafting specialized nutritional strategies to combat the hypercatabolic states triggered by stress hormones and systemic inflammatory responses from ANIs, exacerbating malnutrition and potentially leading to multi-organ failure and high mortality [5-7]. Effective nutritional support is critical for maintaining homeostasis, enhancing immune function, and supporting the recovery and rehabilitation of older patients [5]. This review addresses the urgent need for comprehensive strategies and further research to meet the nutritional needs of aging patients in neurocritical care, drawing on the existing literature and expert insights.

Physiological and Distinctive Aspects in Geriatric Neurocritical Care Populations

Gastrointestinal and hepatic functional declines in geriatric populations

Aging induces significant changes in the GI and hepatic systems, resulting in decreased motility in the esophagus and intestines, reduced gastric acid secretion, and diminished digestive enzyme production [1]. These changes slow gastric emptying, hinder nutrient absorption, and may lead to complications like anemia and osteoporosis [1,2]. Such issues are exacerbated in ANI, increasing residual gastric volume in patients receiving enteral nutrition (EN) [3]. Additionally, aging affects liver functionality by reducing liver volume and blood flow, which impairs the ability of the liver to process medications and extend the effects of drugs [1,8]. This reduction in hepatic efficiency necessitates careful medication management, especially in the treatment of older adults with ANI, to adjust drug dosages for safety and efficacy in neurocritical care (Table 1) [4,9-11].

Hormonal regulation and dysfunction in the aging population

Hormonal regulation changes significantly in aging and affects physiological processes. Decreased growth hormone secretion reduces muscle mass, whereas diminished renal function affects the renin-aldosterone system, increasing the risk [1]. The effectiveness of insulin decreases owing to heightened insulin resistance, potentially lowering production and causing prolonged high blood glucose levels, which elevates diabetes risk [1,8]. These hormonal changes complicate hyperglycemia management in acute brain injuries, making glucose stabilization challenging (Table 1) [4,9-11].

Increased incidence of chronic disease and multimorbidity in older adults

As individuals age, there is a discernible increase in chronic health conditions, leading to a heightened risk of “multimorbidity,” where 2 or more chronic diseases are present simultaneously [1]. Key comorbidities prevalent among older adults include but are not limited to hypertension, diabetes mellitus, chronic obstructive pulmonary disease, heart failure, malignancies, and cognitive decline [1]. The convergence of aging and such comorbidities significantly increases the likelihood of frailty, a syndrome characterized by a comprehensive decline in physiological functions that critically diminishes an individual's ability to cope with stressors, thus increasing their susceptibility to adverse health outcomes [2,3]. In the realm of neurocritical care, older patients often present with a spectrum of coexisting conditions, such as diabetes and hypertriglyceridemia, which complicate their management and prognosis.

Sarcopenia in older adults in NCCUs

In older patients, a notable shift in body composition is observed, with a decrease in muscle mass and an increase in fat mass, compared to younger individuals of similar body weight [4]. Sarcopenia prevalence is reported to be 5%-13% in individuals aged 60-70 years and increases to 11%-50% in those aged >80 years [12]. Sarcopenia is characterized by distinct features that deviate significantly from the pattern of healthy muscle aging [13]. The etiology of sarcopenia extends beyond aging and malnutrition, encompassing a reduction in physical activity, endocrine dysfunction, and neurodegenerative diseases, among other factors. In neurocritically ill older patients, the confluence of these factors increases sarcopenia development risk. Sarcopenia progression imposes barriers to recovery from neurological disorders. Alterations in mitochondrial function play a crucial role in sarcopenia, and nutritional interventions may ameliorate both mitochondrial dysfunction and the clinical manifestations of sarcopenia. Older patients, particularly those who are critically ill or have undergone surgery or trauma and present with sarcopenia, have increased mortality rates, a higher incidence of postoperative complications, fewer ventilator-free days, and fewer intensive care unit (ICU)-free days [5,6]. This disparity is partly due to the reduced capacity of older individuals to initiate an anabolic response to protein supplementation, a phenomenon observed in both healthy and critically ill individuals. Consequently, to counteract this “anabolic resistance,” older patients may necessitate a higher protein intake. While older critically ill patients typically exhibit increased ureagenesis with similar protein intakes as younger patients, the difference in serum urea nitrogen levels across age groups does not reach clinical significance for most [7].
Recommended strategies to combat muscle loss, sarcopenia, and ICU-acquired weakness include maintaining euglycemia during hospitalization, minimizing immobilization duration, applying electrical muscle stimulation, and implementing early EN [8]. However, the early catabolic phase characteristic of critical illness cannot be averted by the administration of early parenteral nutrition (PN) alone [8]. Early mobilization of ICU patients has emerged as a pivotal approach to mitigate physical decline post-critical illness, potentially curbing muscle loss and dysfunction [8]. This multifaceted approach highlights the importance of tailored nutritional and rehabilitation strategies to improve outcomes in aging and critically ill populations.

The Metabolic Response ANI and the Importance of Early Nutritional Support

During the initial stages of ANI, systemic inflammatory responses and sympathetic nervous system activation result in hypermetabolic and catabolic states. The intensity of the injury, nature of the disease, and physical activity level determine the severity and cause of ANI, notably influenced by trauma, subarachnoid hemorrhage (SAH) due to aneurysm rupture, and cerebral infarction, along with hormonal changes, concurrent injuries, sepsis, pneumonia, and inflammatory responses stemming from complications [14,15]. This hypermetabolic and catabolic state results in hyperglycemia, protein wasting, and increased energy demand [2,15]. Early and appropriate nutritional support is crucial for maintaining homeostasis and immune function, preventing metabolic complications, reducing brain damage, aiding neurological recovery, minimizing muscle loss, and assisting in the rehabilitation and healing of surgical sites or wounds [14,16]. This is especially critical in vulnerable older patients for whom timely and adequate nutritional support is paramount (Fig. 1, Table 2).

Decision-Making Process of Nutritional Support

Determining nutritional support involves a systematic approach that includes assessing the malnutrition status and adequacy of oral volitional intake, calculating the type and amount of caloric and nutrient support required, deciding on the method and duration of administration, and evaluating the severity of any coexisting metabolic disorder. This sequential evaluation ensures that nutritional interventions are tailored to meet the patient's specific needs and optimize recovery and health outcomes.

Nutritional risk screening: evaluation of malnutrition status

Every patient admitted to the NCCUs for >48 hours should undergo a nutritional risk assessment for malnutrition using a validated screening tool within the first 24 to 48 hours NCCU admission [17-19]. This is based on the understanding that alterations in the gut barrier, including signs of intestinal ischemia, increased permeability, bacterial translocation, and dysbiosis, can occur within the first 24 hours [20].
Although numerous tools have been proposed for screening the nutritional status of critically ill patients, none have been specifically validated for neurological patients [21-24]. Many existing tools involve comprehensive questionnaires not well suited for neurocritically ill older patients, often owing to the complexity of these assessments and the patients' difficulties with communication and cooperation. Therefore this study aimed to introduce some of the screening tools currently in use and discuss their applicability in the NCCU setting, to identify an appropriate tool that can be effectively implemented for this patient population.

Weight loss and body mass index

In medical terminology, weight classifications are defined as follows: (1) Actual body weight (ABW) is the weight measured during hospitalization or reported immediately before hospitalization. (2) Ideal body weight (IBW) is the weight corresponding to an individual's height [18]. (3) ABW is used for patients with obesity and is calculated using the following formula: adjusted body weight=(ABW−IBW)×0.33+IBW.
In this context, body weight refers to the preadmission “dry” weight (i.e., weight before fluid resuscitation) for patients with a body mass index (BMI) of up to 30 kg/m² [18]. A recent study suggested a more precise estimation of IBW based on BMI using the following formula: IBW (kg)=2.2×BMI+3.5×BMI×(height−1.5 m).
Weight measurement is a straightforward and readily available bedside method. An involuntary weight loss >10% within 6 months or >5% within 1 month indicates severe malnutrition. BMI is calculated based on the correlation of weight to height, with BMI <18.5 kg/m² suggesting malnutrition and BMI >25 kg/m² using IBW indicating obesity [25]. One limitation of the BMI is that it fails to account for body composition.
Obtaining a history of weight loss in patients with severe ANI and accurately measuring weight and height for acute nutritional support can be challenging. Therefore, BMI may not be an appropriate indicator in these instances. The aforementioned formulas and criteria outline the standardized approach to weight classification and its implications for nutritional assessment and planning.

Geriatric nutritional risk index

The geriatric nutritional risk index (GNRI), developed by Bouillanne et al. in 2005 [26], is specifically tailored to evaluate the nutritional status of the aging population. This tool was conceived as an advancement over the traditional nutritional risk index, predicated on IBW and designed to reflect both body weight and serum albumin levels [23]. However, obtaining accurate body-weight measurements in older adults is challenging. GNRI calculation is based on serum albumin levels and BMI [27]. Studies have demonstrated a negative correlation between GNRI scores and ICU mortality rates. As an efficient screening instrument for malnutrition risk, the GNRI’s identification of a significant risk of malnutrition has proven effective in predicting poor prognosis for geriatric patients admitted to the ICU, enabling healthcare providers to pinpoint individuals in urgent need of nutritional intervention [27]. The formula and risk cutoff values are detailed in Table 3 [27,28], facilitating the application of the GNRI in clinical settings to assess and address nutritional risks among older patients.

Mini Nutritional Assessment

The Mini Nutritional Assessment (MNA) is designed to assess the nutritional status of older patients. Recently, the MNA-Short Form (MNA-SF) was recommended by the European Society for Clinical Nutrition and Metabolism (ESPEN), as it has been validated for the diagnosis of malnutrition and prediction of clinical outcomes [29]. The MNA-SF is a validated, sensitive, and reliable screening tool comprising 6 domains: appetite or eating problems in the past 3 months, weight loss during the last month, mobility impairment, acute illness/stress in the past 3 months, dementia or depression, and BMI. Total MNA-SF scores ranged from 0 to 14, and patients were divided into the following 3 categories according to the following cut-offs: well-nourished (12-14), risk of malnutrition (8-11), and malnourished (0-7) (Table 4) [21].

Nutritional Risk Screening 2002

The screening process for nutritional risk incorporates 4 key tools: BMI, weight loss within 3 months, reduced dietary intake in the last week, and disease severity in ICU patients. If the answer is “Yes” to any of these initial screening questions, the patient should proceed to the final screening. If the response to all 4 questions is “No,” the patient is considered to be at low risk.
This method evaluates nutritional risk based on the sum of the scores for impaired nutritional status and disease severity. An additional point is added for patients aged ≥70 years. Although this tool has been validated for hospitalized patients and is associated with mortality, it is not specific to critically ill patients. The Nutritional Risk Screening (NRS)-2002 categorizes patients as ‘at risk’ if the score is >3 and ‘high risk’ if ≥5 [23,29]. In neurocritical care settings, older patients often score 3 points for disease severity alone, and those aged >70 years receive an additional point, leading to a score of ≥4, which categorizes them as malnourished. Thus, they are considered at risk [27,28]. Based on these criteria, neurocritically ill older patients are deemed to require intensive nutritional therapy, as they are all assessed to be malnourished (Table 5) [29].

The nutrition risk in critically ill score & modified nutrition risk in critically ill score

The nutrition risk in critically ill (NUTRIC) score, a nutritional risk assessment tool designed for ICU patients, acknowledges that not all ICU patients uniformly benefit from nutritional interventions, distinguishing it from other scoring systems [22,24]. It evaluates nutritional status using 6 criteria: age, Acute Physiology and Chronic Health Evaluation II score, sequential organ failure assessment score, number of comorbidities, ICU stay length, and interleukin-6 levels. However, as interleukin-6 is not commonly measured, the modified NUTRIC (mNUTRIC) score, which omits this measure, is valuable [22,24]. This tool, which lacks indicators such as dietary intake and weight loss, considers a score of 5 or higher as a sign of nutritional risk, necessitating nutritional interventions. Traditional factors, such as BMI and recent weight loss, were excluded from these scores. The absence of factors specifically relevant to neurocritical patients, such as brain and spinal cord injuries, suggests the need for a specialized formula and further research to refine these assessments for neurocritical care (Table 6) [24,30].

Initiation timing, initial nutritional requirements, and incremental adjustments

Current guidelines recommend early implementation of oral or EN within 48 hours (<70% of estimated needs) rather than delaying EN. Then slowly ramps up to full nutritional requirements within 3 to 7 days (80%-100% estimated needs) of admission to avoid overfeeding (110% estimated needs). The Society of Critical Care Medicine guidelines recommend efforts to provide >80% of the estimated energy and protein needs within 48 to 72 hours to achieve the clinical benefit of EN over the first week of hospitalization [17]. It is critical when early PN is utilized; guidelines recommend a ramped approach to energy/protein delivery with initial doses ≤70% of resting energy expenditure (REE) and protein starting at <0.8 g/kg/d with advancement over the first ICU week [31].

The optimal caloric goal

After ANI, increased energy requirements can cause hypermetabolism and hypercatabolism, increasing morbidity and weight loss [15]. There is an ongoing debate about the optimal energy needed to reduce morbidity and mortality in NCCUs [32,33]; however, avoiding overfeeding is generally considered crucial [34]. The 2022 American Society for Parenteral and Enteral Nutrition (ASPEN) guidelines note no significant outcome differences between higher and lower energy intakes, recommending 12 to 25 kcal/kg in the initial 7 to 10 days of ICU admission [34]. Hypocaloric enteral feeding in NCCUs is associated with less GI intolerance and shorter duration of ventilator use and hospital stay [32]. Without indirect calorimetry (IC), energy needs should be estimated at 25-30 kcal/kg body weight after adjusting for weight and clinical changes [15].

Determination tools of the energy expenditure

Indirect calorimetry

IC is the benchmark for measuring energy expenditure (EE) in critically ill patients and is recommended as the optimal approach when feasible [17,19,32]. It relies on quantifying oxygen intake (VO2) and carbon dioxide output (VCO2) by utilizing these measurements to compute REE using Weir’s equation [33]. A simplified form of this equation is frequently employed [7]. For accurate IC assessment, a stable metabolic state characterized by a consistent acid-base balance and CO2 production is necessary. IC offers numerous benefits and drawbacks for determining the energy requirements of critically ill patients (Table 7). IC-guided nutritional therapy can enhance patient outcomes relative to predictions made using standard equations. Nonetheless, IC has limitations; it cannot account for calories from non-nutritional sources and carries the risk of triggering refeeding syndrome (RFS) due to rapid nutritional supplementation in undernourished individuals [29].
Specific constraints also affect the use of IC in clinical settings. The precision of VO2 and VCO2 readings may be affected in patients with significant oxygen needs (FiO2 >0.7), high positive end-expiratory pressure (PEEP >2 cmH2O), or the presence of air leaks, such as those caused by pneumothorax, emphysema, or tracheoesophageal fistula. Accuracy may be reduced for individuals undergoing nebulization treatments or using damp sensors, and conducting evaluations can be challenging for those on non-invasive ventilation or high-flow nasal oxygen. Additionally, IC is unsuitable for patients receiving non-mechanical oxygen support [34]. Factors such as continuous renal replacement therapy, anesthesia, physical therapy, and excessive patient movement further limit its applicability [30]. REE (kcal/day)=[3.941×V°O2 (liters/min)]+[1.106×V°CO2 (liters/min)]×1,440 [30,34]

Harris-Benedict equation and Penn State equation

The Harris-Benedict equation (HBE), one of the most frequently used formulas for calculating caloric needs, was originally developed based on IC data [35,36]. To account for the increased energy demand owing to injury or stress in hospitalized patients, an additional factor is commonly incorporated. Research has indicated that the accuracy of the HBE varies significantly, ranging from 17% to 67%, with a notable propensity to both overestimate and underestimate caloric requirements [35,36]. The formula and injury factor details are listed in Table 8 [30,35,36]. When measured body temperature values are used in targeted temperature management (TTM), applying the set body temperature is advisable.
The Penn State equation originated from a study of 169 ventilated patients in 1998 and was modified in 2003. The 2003 version demonstrated an accuracy rate of 72% [30]. However, none of these equations has been specifically validated for neurocritical care settings [24,25].
In patients with traumatic brain injury (TBI), the energy metabolic rate often significantly exceeds the REE predicted by the HBE, with values ranging from 120% to 250% of the calculated REE. When sedatives, paralytics, or barbiturates are administered, the rate is adjusted between 76% and 120%. Therefore, it is recommended to provide 140% of the predicted REE to patients not undergoing paralysis treatment [37,38]. This approach meets the usual nutritional needs of two-thirds of patients in the initial 2 to 4 weeks following TBI [14].
In stroke management, the approach for calculating energy requirements varies notably between patients with hemorrhagic and ischemic stroke. For patients with hemorrhagic stroke, high-weight-based energy calculations (30 kcal/kg) serve as more accurate predictors of REE, whereas for patients with acute ischemic stroke, lower-weight-based calculations (25 kcal/kg) are more effective [1]. During the initial week post-stroke, hemorrhagic stroke patients exhibited an REE of 126% (ranging from 101%-170%), which was not statistically distinguishable from the mean REE of 147% (114%-176%) observed in patients with severe TBI. Consequently, similar to patients with TBI, individuals with hemorrhagic stroke experience an elevated metabolic rate, posing a risk of nutritional undersupply when compared to the standard critically ill patient population. In cases of aneurysmal SAH, the initial energy requirement started near 25 kcal/kg but gradually increased, surpassing 30 kcal/kg by the 6th day post-hemorrhage [38-41]. This progression underscores the importance of adjusting nutritional support strategies over time to meet the evolving energy needs of patients with stroke.
Although early enteral feeding (EEN) is advocated for both critically ill patients and those with severe head injuries [17], the optimal approach to nutritional support for neurocritical care patients undergoing TTM remains less defined. The administration of EN should be exercised with caution during TTM at temperatures <34℃, owing to the increased risk of paralytic ileus, which can result from reduced bowel motility and hemodynamic instability. Due to concerns over bowel ischemia or necrosis, postponing EN until the rewarming phase is frequently advised.
The European Society of Intensive Care Medicine suggests initiating EN at a low dose early in the treatment process and gradually increasing the quantity after rewarming [19,28,38,42], providing a balanced strategy to mitigate risks while ensuring that nutritional needs are met during the critical phases of patient care under TTM.

Routes of nutrient delivery: EN versus PN

EN was associated with fewer infections, higher feasibility, and lower costs than PN [17]. It maintains intestinal function in older ICU patients [43] and is not reliably indicated by the absence of bowel sounds [17]. Total parenteral nutrition (TPN), a treatment for intestinal failure, increases morbidity and mortality rates [44]. The literature supports starting EEN within 24 to 48 hours of admission [18,45,46], even for patients who are paralyzed, have an open abdomen, are on extracorporeal membrane oxygenation, or are in prone positions [9,28,31,46]. Adequately resuscitated patients on low-dose vasopressors should receive trophic EEN soon after admission [9,46]. EN should not be discontinued for diarrhea without further evaluation [17].
If oral intake or EN is contraindicated, PN should be considered between 3 and 7 days post-admission [18,19]. EN should be postponed under several specific conditions, as outlined in the literature [19,43]. (1) Uncontrolled shock and hemodynamic instability (tissue hypoperfusion state): mean arterial pressure <60 mmHg; (2) Uncontrolled life-threatening hypoxemia, hypercapnia, or acidosis; (3) Active upper GI bleeding, whereas EN can be started when the bleeding has stopped, and no signs of rebleeding are observed; (4) Overt bowel ischemia, high-output intestinal fistula, abdominal compartment syndrome; (5) gastric tube volume is above 200 mL/6 h. in neurological patient.
Guidelines differ regarding the use of PN when EN cannot meet nutritional needs. ASPEN asserts that because PN and EN provide similar energy without differential harm, both are viable [17]. ESPEN suggests integrating EN and PN if targets are not met within 3 days [18,19], advocating patient-specific judgment on starting PN within the first week. It is advised to reduce PN as patients meet over 60% of their energy needs from EN [17]. Effective PN management depends on monitoring the patient’s capacity to handle dextrose, intravenous lipid emulsions (ILE), and amino acids [44], ensuring that the PN adapts to individual needs and minimizes risks. This patient-centered approach ensures that PN is tailored to meet the needs and tolerances of each patient, thereby optimizing nutritional support and minimizing potential complications.

Importance of Nutritional Support Team and feeding protocol

No single tool can encompass all the nutritional requirements of a patient. Employing various monitoring techniques, conducting regular assessments, and involving a comprehensive nutritional team are essential for a thorough evaluation of patients’ nutritional needs [8]. Decisions regarding temporary and permanent nutritional support methods should align with the overarching objectives of patient care [8]. The involvement of an Nutritional Support Team facilitates the earlier initiation of EN and ensures appropriate nutritional support. These personalized strategies have the potential to significantly enhance patient outcomes significantly [12]. Furthermore, the implementation of EN protocols tailored to the specifics of an institution is critical for optimizing EN administration [17].

Microbiome

Although a pathogenic microbiome has been identified in critically ill patients, evidence regarding the impact of nutritional administration on the microbiome during critical illness remains scarce. Current research primarily examines the modulation of the microbiome via pre- and probiotics to address GI alterations such as diarrhea. However, variability in fiber composition and bacterial species has led to inconsistent results. Consensus guidelines recommend probiotic soluble fiber for diarrhea treatment, favoring it over mixed-fiber formulas due to its ability to ferment and produce short-chain fatty acids [20,37]. The diversity of probiotic preparations and dosages among existing studies has made it challenging to provide consistent results, underscoring the need for further research in this area.

Immune-modulating nutrients and vitamin

Vitamins C and E reduce oxidative stress at the cellular level by exerting antioxidant effects. A combination of antioxidant vitamins and trace minerals, considered safe for critically ill patients, is recommended for those needing specialized nutritional therapy [17,19]. However, supplemental enteral glutamine should not be routinely added to EN regimens for critically ill patients [17]. The ESPEN partially revised 2019 guidelines suggest that in critically ill trauma patients, additional EN doses of glutamine (0.2-0.3 g/kg/d) can be given for the first 5 days with EN and extended from 10 to 15 days for complicated wound healing [18,19].
Vitamin E has been linked to improved mortality rates and Glasgow coma scale scores at discharge in patients with TBI [44]. High-dose vitamin C is associated with the stabilization of perilesional edema in TBI. All at-risk patients should have their vitamin D status (25(OH)D) checked [19]. Critically ill patients with low plasma levels (25-hydroxy-vitamin D <12.5 ng/mL, or 50 nmol/L) can receive a high dose of vitamin D3 (500,000 IU) within a week of admission [18]. A combination of vitamin D and progesterone in ischemic stroke shows a trend toward better survival and functional outcomes at 6 months [45,46]. IV magnesium sulfate, along with oral nimodipine for SAH treatment, has proven effective in reducing delayed cerebral ischemia and secondary cerebral infarction with good safety but does not reduce rebleeding or death [9].
The use of arginine-containing immune-modulating formulas or eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) supplements with standard enteral formulas in patients with TBI [17] and offering either fish oil or non-fish oil lipid emulsions early in the ICU for suitable patients are considered practices. ILE enriched with EPA and DHA (0.1-0.2 g/kg/d) can be administered to patients on PN [19]. Nutritional doses of EN rich in omega-3 fatty acids are recommended [19]. Due to the diversity of study participants and small sample sizes, more extensive clinical research is needed before these methods can be widely used [37]. Further research is required on the role of antioxidants and immune-modulating diets in the NCCU before making definitive recommendations.

RFS management and prevention

The assessment of RFS risk should consider various factors, including periods of fasting, weight loss, recent nutrient consumption, degree of fat and muscle depletion, and existing comorbidities (Table 9) [27,47]. RFS is a metabolic complication that may arise within the first 2 weeks of initiating high-calorie nutrition in undernourished patients and is marked by significant metabolic shifts in glucose, potassium, magnesium, and phosphate levels [25,44]. The reintroduction of nutrient-dense foods prompts insulin secretion, leading to the intracellular movement of glucose, potassium, magnesium, phosphate, and water, consequently causing a rapid reduction in serum levels [25,44,45]. Hypophosphatemia is frequently cited as a primary sign of this syndrome [44] and thiamine deficiency is recognized as a potential outcome of RFS [44]. These metabolic alterations can severely affect various body systems, potentially resulting in critical cardiovascular, neurological, and hematological issues, including heart failure, arrhythmias, seizures, and anemia. Early identification of individuals at risk for RFS is essential, enabling preemptive management of electrolyte imbalances, vitamin shortages, and fluid discrepancies before the initiation of nutritional support [19]. Regular monitoring of electrolytes and weekly assessments for those suspected of having RFS are imperative [19].
Several precautionary measures have been suggested to prevent RFS in vulnerable groups, several precautionary measures are suggested [44,46]: (1) Start with 100-150 g dextrose or 5-10 kcal/kg/day and gradually increase to the target caloric intake over 4-7 days. (2) Administer thiamine (100 mg/day), a multivitamin, and trace elements for 5-7 days before starting dextrose-containing IV fluids in at-risk patients. (3) Patients receiving oral/EN include a complete oral/enteral multivitamin daily for 10 days or longer, depending on their clinical status, especially in cases of severe starvation, chronic alcoholism, and/or signs of thiamin deficiency [44]. (4) In the presence of refeeding hypophosphatemia (<0.65 mmol/L or a drop of >0.16 mmol/L), hypokalemia, and hypomagnesemia, nutritional support should be limited for 48 hours, with electrolytes measured 2-3 times daily and supplemented as necessary. Resuming and increasing nutritional support are recommended after correction [18,19,27,44].

Conclusion

Older adults face an increased risk of nutritional imbalance due to age-related changes in their GI tract, a situation in which ANI can worsen by promoting a hypermetabolic state. Addressing these imbalances with timely and individualized nutritional therapy is critical for preventing sarcopenia and optimizing patient outcomes, necessitating a careful balance between overfeeding and underfeeding. A protocol-driven, team-based approach is essential to ensure adequate nutritional support, ultimately contributing to reduced mortality and enhanced neurological recovery. However, nutritional assessment and support methodologies are still evolving, highlighting the need for further research to refine these critical care strategies.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Acknowledgments

This study was supported by a grant from the Policy Research Funds of the Korean Society of Geriatric Neurosurgery.

Fig. 1.
Neuroendocrine and metabolic response to acute neurological injury and the importance of early nutritional support.
jksgn-2024-00066f1.jpg
Table 1.
Physiological and special considerations in older neurocritical patients
Physiological changes Target organ and associated disease
Functional changes in the gastrointestinal system in older neurocritical patients Gastrointestinal tract
Decreased gastrointestinal motility (1) Increase in the gastric emptying time
(2) Increased risk of aspiration pneumonia
(3) Aggravation of decreased gastrointestinal motility after brain injury
Decreased secretion of gastric acid secretion (1) Atopic gastritis, dysbiosis of the small bowel
(2) Iron and vitamin B-12 malabsorption, reduced calcium bioavailability [4,9]
(3) Anemia, declining bone density, risk of constipation [10]
Liver
Decreased liver volume, age-related decline in hepatic blood flow Decreased elimination of drugs and toxic materials
Hormonal changes Decreased secretion of renin-aldosterone Decrease in total body water [4]
Corticosteroid, growth hormone, abnormal thyroid function Sarcopenia
Decreased secrerion and effect of insulin → Difficulty in blood glucose control and elevated risk of type II diabetes mellitus [11]
Table 2.
Advantage and weakness of early enteral nutrition
Advantage Weakness
Preventing protein-calorie deficit Limited supply in case of poor adaptation
Helps to maintain structural and functional integrity of the gut Risk of gastrointestinal problem
Attenuates metabolic response to injury, decreases insulin resistance and oxidative stress. Risk of aspiration
Reduced infection rate economic
Table 3.
Geriatric nutritional risk index
Formula
 GNRI=1.489×serum albumin (g/L)+41.7×present weight/IBW (kg)
 IBW for men=0.75×height (cm)-62.5, IBW for women=0.60×height (cm)-40
Risk of malnutritona)

Based on [27].

GNRI, geriatric nutritional risk index; IBW, ideal body weight.

a)Risk of malnutrition: major, <82; moderate, 82 to ≤92; low, 92 to ≤98; none, >98.

Table 4.
The Mini Nutritional Assessment-Short Form
Variable Category Point
Food intake declines over the past 3 months due to loss of appetite, digestive problems, chewing or swallowing difficulties Severe loss of appetite 0
Moderate loss of appetite 1
No loss of appetite 2
Weight loss during last months Weight loss >3 kg 0
Does not know 1
1 kg≤weight loss≤3 kg 2
No weight loss 3
Mobility Bed or chair-bound 0
Able to get out of bed/chair but does not go out 1
Goes out 2
Psychological stress or acute disease in the past 3months Yes 0
No 2
Neuropsychological problem Severe dementia or depression 0
Mild dementia 1
No psychological problems 2
Body mass index (kg/m²) Less than 19 0
19 to <21 1
21 to <23 2
≥23 3
Cut-offs for risk Well-nourished 12-14
Risk of malnutrition 8-11
Malnourished 0-7
Table 5.
Nutritional Risk Screening 2002
Nutritional status Score Stress metabolism (severity of the disease) Score
Normal 0 Normal 0
Mild 1 Mild stress metabolism 1
 Weight loss >5% in 3 months  Patient is mobile
 OR  Increased protein requirement can be covered with oral nutrition
 50%-75% of the normal food intake in the last week  Hip fracture, chronic disease especially with complications e.g., liver cirrhosis, chronic obstructive pulmonary disease, diabetes, cancer, chronic hemodialysis
Moderate 2 Moderate stress metabolism 2
 Weight loss >5% in 2 months  Patient is bed-ridden due to illness
 OR  Highly increased protein requirement, Stroke, hematologic cancer, severe pneumonia, extended abdominal surgery
 BMI 18.5-20.5 kg/m2 AND reduced general condition
 OR
 25%-50% of the normal food intake in the last week
Severe 3 Severe stress metabolism 3
 Weight loss >5% in 1 month Patient is critically ill (intensive care unit)
 OR Very strongly increased protein requirement can only be achieved with (par)enteral nutrition
 BMI <18.5 kg/m2 AND reduced general condition  APACHE-II >10, bone marrow transplantation, head traumas
 OR
 0%-25% of the normal food intake in the last week
Total (A) Total (B)
<70 Years: 0 pt, ≥70 years: 1 pt
Total=(A)+(B)+age
≥3 Points: patient is at nutritional risk. Nutritional care plan should be set up.

Based on [29].

BMI, body mass index.

Table 6.
NUTRIC and mNUTRIC score
Variable Range Point
Age (yr) <50 0
50-<75 1
≥75 2
APACHE-II <15 0
15 - <20 1
20 - 28 2
>28 3
SOFA <6 0
6-<10 1
≥10 2
No. of comorbidities 0-1 0
≥2 1
Days from hospital to ICU admission 0-<1 0
≥1 1
IL-6 0-400 0
>400 1
NUTRIC score and mNUTRIC score
 Risk of malnutrition
  High score (needed aggressive nutrition therapy) NUTRIC score with IL-6 (6-10) mNUTRIC score no IL-6 (5-9)
  Low score NUTRIC score with IL-6 (0-5) mNUTRIC score no IL-6 (0-5)

Based on [30].

NUTRIC, nutrition risk in critically ill; mNUTRIC, modified NUTRIC; APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment; ICU, intensive care unit; IL, interleukin.

Table 7.
Advantages and disadvantages of indirect calorimetry
Advantages Disadvantages
Precision Need for indirect calorimetry-trained staff
Accuracy Patient stability
Supplemental oxygen
Interference from medical intervention
Table 8.
Caloric requirements using the HBE and the Penn State equation
Parameter Details Factor
Calculation of REE using HBE
Man: 66.47+(13.75×weight in kg)+(5.003×height in cm)-(6.775×age in years)
Woman: 655.1+(9.563×weight in kg)+(1.850×height in cm)-(4.676×age in years)
Calculation of total caloric requirement
Using HBE=REE calculated by HBE×IF×AF×thermal factor
AF IF: ranges from 1 to 2 depending upon the severity of illness TF
Bed-ridden patient, 1.2 (most neurocritical patients) Pneumonia with ARDS  1.2 to 1.3 38℃, 1.1
Active but bed-ridden patient, 1.35 Minor surgery 1.1 to 1.3 39℃, 1.2
Ambulatory patient, 1.3 Major surgery 1.2 to 1.4 Multiple trauma 1.4 to 1.6 40℃, 1.3
Trauma with closed head injury 1.5 to 1.7 41℃, 1.4
Using Penn State=(0.85×REE calculated by HBE)+(175×Tmax)+(33×VE)−6,433
Tmax=maximum body temperature in past 24 hours ( in Celsus)
VE=minute ventilation in L/min

Based on [30,35,36].

HBE, Harris-Benedict equation; REE, resting energy expenditure; IF, injury factor; AF, activity factor; TF, thermal factor; ARDS, acute respiratory distress syndrome.

Table 9.
American Society for Parenteral and Enteral Nutrition consensus criteria for identifying adult patients at risk for refeeding syndrome
RFS risk factor Moderate risk: 2 risk criteria needed Significant risk: 1 risk criterion needed
Body mass index (kg/m2) 16-18.5 <16
Weight loss 5% in 1 month 7.5% in 3 months or >10% in 6 months
Caloric intake None or negligible oral intake for 5-6 days None or negligible oral intake for >7 days
OR OR
<75% of estimated energy requirement for >7 days during an acute illness or injury <50% of estimated energy requirement for >5 days during an acute illness or injury
OR OR
<75% of estimated energy requirement for >1 month <50% of estimated energy requirement for >1 month
Abnormal prefeeding potassium, phosphorus, or magnesium serum concentrationsa Minimally low levels or normal current levels and recent low levels necessitating minimal or single-dose supplementation Moderately/significantly low levels or minimally low or normal levels and recent low levels necessitating significant or multiple-dose supplementation
Loss of subcutaneous fat Evidence of moderate loss Evidence of severe loss
Loss of muscle mass Evidence of mild or moderate loss Evidence of severe loss
Higher-risk comorbidities Advanced neurologic impairment or general inability to communicate needs
Chronic alcohol or drug use disorder
Dysphagia and esophageal dysmotility

Adapted from Peng et al. Front Nutr 2023;10:1117054 according to the Creative Commons license [27] and Mousavian et al. JPEN J Parenter Enteral Nutr 2020;44:1475-83 [47].

RFS, refeeding syndrome.

REFERENCES

1. Beil M, Flaatten H, Guidet B, et al. The management of multi-morbidity in elderly patients: Ready yet for precision medicine in intensive care? Crit Care 2021;25:330.
crossref pmid pmc pdf
2. Kurtz P, Rocha EEM. Nutrition therapy, glucose control, and brain metabolism in traumatic brain injury: a multimodal monitoring approach. Front Neurosci 2020;14:190.
crossref pmid pmc
3. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001;56:M146-56.
crossref pmid
4. Alvis BD, Hughes CG. Physiology considerations in geriatric patients. Anesthesiol Clin 2015;33:447-56.
crossref pmid pmc
5. Moisey LL, Mourtzakis M, Cotton BA, et al. Skeletal muscle predicts ventilator-free days, ICU-free days, and mortality in elderly ICU patients. Crit Care 2013;17:R206.
crossref pmid pmc pdf
6. Dickerson RN. Nitrogen balance and protein requirements for critically ill older patients. Nutrients 2016;8:226.
crossref pmid pmc
7. Walker RN, Heuberger RA. Predictive equations for energy needs for the critically ill. Respir Care 2009;54:509-21.
pmid
8. Brunker LB, Boncyk CS, Rengel KF, Hughes CG. Elderly patients and management in intensive care units (ICU): clinical challenges. Clin Interv Aging 2023;18:93-112.
crossref pmid pmc pdf
9. Russell RM. Changes in gastrointestinal function attributed to aging. Am J Clin Nutr 1992;55:1203S-7S.
crossref pmid
10. ASPEN Board of Directors and the Clinical Guidelines Task Force. Guidelines for the use of parenteral and enteral nutrition in adult and pediatric patients. JPEN J Parenter Enteral Nutr 2002;26:1SA-138SA.
pmid
11. Lamberts SW, van den Beld AW, van der Lely AJ. The endocrinology of aging. Science 1997;278:419-24.
crossref pmid
12. Kwon HJ, Kim HJ, Ryu JA. Impact of critical care registered dietitian on clinical outcomes of neurocritically ill patients. J Neurointensive Care 2023;6:106-13.
crossref pdf
13. Sayer AA, Syddall H, Martin H, Patel H, Baylis D, Cooper C. The developmental origins of sarcopenia. J Nutr Health Aging 2008;12:427-32.
crossref pmid pmc pdf
14. Foley N, Marshall S, Pikul J, Salter K, Teasell R. Hypermetabolism following moderate to severe traumatic acute brain injury: a systematic review. J Neurotrauma 2008;25:1415-31.
crossref pmid
15. Faisy C, Guerot E, Diehl JL, Labrousse J, Fagon JY. Assessment of resting energy expenditure in mechanically ventilated patients. Am J Clin Nutr 2003;78:241-9.
crossref pmid
16. Azim A, Ahmed A. Nutrition in neurocritical care. Neurol India 2016;64:105-14.
crossref pmid
17. McClave SA, Taylor BE, Martindale RG, et al. Guidelines for the provision and assessment of nutrition support therapy in the adult critically ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN J Parenter Enteral Nutr 2016;40:159-211.
crossref pmid
18. Singer P, Blaser AR, Berger MM, et al. Espen guideline on clinical nutrition in the intensive care unit. Clin Nutr 2019;38:48-79.
crossref pmid
19. Mahmoud SH, Ho-Huang E, Buhler J. Systematic review of ketogenic diet use in adult patients with status epilepticus. Epilepsia Open 2020;5:10-21.
crossref pmid pmc pdf
20. McDonald D, Ackermann G, Khailova L, et al. Extreme dysbiosis of the microbiome in critical illness. mSphere 2016;1:e00199-16.
crossref pmid pmc pdf
21. Cohendy R, Rubenstein LZ, Eledjam JJ. The mini nutritional assessment-short form for preoperative nutritional evaluation of elderly patients. Aging (Milano) 2001;13:293-7.
crossref pmid pdf
22. Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care 2011;15:R268.
crossref pmid pmc pdf
23. Jie B, Jiang ZM, Nolan MT, Zhu SN, Yu K, Kondrup J. Impact of preoperative nutritional support on clinical outcome in abdominal surgical patients at nutritional risk. Nutrition 2012;28:1022-7.
crossref pmid
24. Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the "modified NUTRIC" nutritional risk assessment tool. Clin Nutr 2016;35:158-62.
crossref pmid
25. McKnight CL, Newberry C, Sarav M, Martindale R, Hurt R, Daley B. Refeeding syndrome in the critically ill: a literature review and clinician's guide. Curr Gastroenterol Rep 2019;21:58.
crossref pmid pdf
26. Bouillanne O, Morineau G, Dupont C, et al. Geriatric nutritional risk index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr 2005;82:777-83.
crossref pmid
27. Peng JC, Zhu YW, Xing SP, Li W, Gao Y, Gong WW. Association of geriatric nutritional risk index with all-cause hospital mortality among elderly patients in intensive care unit. Front Nutr 2023;10:1117054.
crossref pmid pmc
28. Reintam Blaser A, Starkopf J, Alhazzani W, et al. Early enteral nutrition in critically ill patients: ESICM clinical practice guidelines. Intensive Care Med 2017;43:380-98.
crossref pmid pmc pdf
29. Kondrup J, Allison SP, Elia M, Vellas B, Plauth M. ESPEN guidelines for nutrition screening 2002. Clin Nutr 2003;22:415-21.
crossref pmid
30. Frankenfield D, Smith JS, Cooney RN. Validation of 2 approaches to predicting resting metabolic rate in critically ill patients. JPEN J Parenter Enteral Nutr 2004;28:259-64.
crossref pmid
31. Wischmeyer PE, Bear DE, Berger MM, et al. Personalized nutrition therapy in critical care: 10 expert recommendations. Crit Care 2023;27:261.
crossref pmid pmc pdf
32. Ndahimana D, Kim EK. Energy requirements in critically ill patients. Clin Nutr Res 2018;7:81-90.
crossref pmid pmc pdf
33. WEIR JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949;109:1-9.
crossref pmid pmc
34. Kim JH, Won JH, Kim M, et al. Clinical application and significance of indirect calorimetry in neurocritical care. J Neurointensive Care 2023;6:1-8.
crossref pdf
35. Harris JA, Benedict FG. A biometric study of human basal metabolism. Proc Natl Acad Sci U S A 1918;4:370-3.
crossref pmid pmc
36. Tsuei BJ, Magnuson B, Swintosky M, et al. Enteral nutrition in patients with an open peritoneal cavity. Nutr Clin Pract 2003;18:253-8.
crossref pmid
37. Tavarez T, Roehl K, Koffman L. Nutrition in the neurocritical care unit: a new frontier. Curr Treat Options Neurol 2021;23:16.
crossref pmid pmc pdf
38. Choo YH, Kim M, Jeon HW, et al. Neurocritical care nutrition: unique considerations and strategies for optimizing energy supply and metabolic support in critically ill patients. J Neurointensive Care 2023;6:84-97.
crossref pdf
39. Smetana KS, Hannawi Y, May CC. Indirect calorimetry measurements compared with guideline weight-based energy calculations in critically ill stroke patients. JPEN J Parenter Enteral Nutr 2021;45:1484-90.
crossref pmid pdf
40. Esper DH, Coplin WM, Carhuapoma JR. Energy expenditure in patients with nontraumatic intracranial hemorrhage. JPEN J Parenter Enteral Nutr 2006;30:71-5.
crossref pmid pdf
41. Nyberg C, Engström ER, Hillered L, Karlsson T. Daily systemic energy expenditure in the acute phase of aneurysmal subarachnoid hemorrhage. Ups J Med Sci 2019;124:254-9.
crossref pmid pmc
42. Williams ML, Nolan JP. Is enteral feeding tolerated during therapeutic hypothermia? Resuscitation 2014;85:1469-72.
crossref pmid
43. Wischmeyer PE. Enteral nutrition can be given to patients on vasopressors. Crit Care Med 2020;48:122-5.
crossref pmid pmc
44. da Silva JSV, Seres DS, Sabino K, et al. ASPEN consensus recommendations for refeeding syndrome. Nutr Clin Pract 2020;35:178-95.
crossref pmid pdf
45. Mehanna HM, Moledina J, Travis J. Refeeding syndrome: what it is, and how to prevent and treat it. BMJ 2008;336:1495-8.
crossref pmid pmc
46. Khan LU, Ahmed J, Khan S, Macfie J. Refeeding syndrome: a literature review. Gastroenterol Res Pract 2011;2011:410971.
crossref pmid pmc pdf
47. Mousavian SZ, Pasdar Y, Ranjbar G, et al. Randomized controlled trial of comparative hypocaloric vs full-energy enteral feeding during the first week of hospitalization in neurosurgical patients at the intensive care unit. JPEN J Parenter Enteral Nutr 2020;44:1475-83.
crossref pmid pdf
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ORCID iDs

Hoo In Lee
https://orcid.org/0009-0008-0352-8384

Kwang Wook Jo
https://orcid.org/0000-0001-7993-3409

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