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How much is too much? Calculating nutritional requirements in the septic and obese patient Chris Slater BSc (Hons) RD Advanced dietetic practitioner - obesity
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How much is too much? Calculating nutritional requirements ...€¦ · Calculating nutritional requirements in the septic and obese patient ... Case Study 55 year old male ... •Fat

Apr 21, 2018

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Page 1: How much is too much? Calculating nutritional requirements ...€¦ · Calculating nutritional requirements in the septic and obese patient ... Case Study 55 year old male ... •Fat

How much is too much? Calculating nutritional requirements in the septic and obese patient

Chris Slater BSc (Hons) RD

Advanced dietetic practitioner - obesity

Page 2: How much is too much? Calculating nutritional requirements ...€¦ · Calculating nutritional requirements in the septic and obese patient ... Case Study 55 year old male ... •Fat
Page 3: How much is too much? Calculating nutritional requirements ...€¦ · Calculating nutritional requirements in the septic and obese patient ... Case Study 55 year old male ... •Fat
Page 4: How much is too much? Calculating nutritional requirements ...€¦ · Calculating nutritional requirements in the septic and obese patient ... Case Study 55 year old male ... •Fat

Aims

• How do we calculate nutritional requirements?

• Look at the evidence behind our estimation equations

• Highlight difficulties of predicting nutritional requirements for obese patients

• Consequences of overfeeding

• Benefits of hypocaloric high protein regimen

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Obesity

• Chronic Condition

• Excess Body Fat

• Pro inflammatory state

• Linked with multiple co-morbidities

→ increased chance of hospital admission

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Obesity - Classification

Classification BMI (kg/m²) Risk of Co morbidities

Normal Range 18.5-24.5 Average

Over weight ≥25

Pre Obese 25-29.9 Increased

Obese 1 30-34.9 Moderate

Obese 2 35-39.9 Severe

Obese 3 ≥40 Very Severe

WHO (1998)

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Obesity – over nourished?

• 232 Patients pre bariatric surgery

• BMI ≥35kg/m²

• 48.7% showed at least one of the following deficiencies

1. Vitamin B12

2. 25-OH Vitamin D3

3. Zinc

Ernst et al 2009

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Obesity Prevalence 2008

Men Women Overall

Overweight 66% 57% 61%

Obese 24% 25% 25%

(Office of Health Economics 2010)

Cost to the NHS = £4.3bn (Department of Health 2010)

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Obesity Prevalence

Fifth highest prevalence of reported developed countries, behind:

1. USA

2. Mexico

3. New Zealand

4. Australia

(Office of Health Economics 2010)

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Obesity Predictions

Men (%) Women (%)

1998 17 21

2008 24 25

2015 36 28

2050 60 50

(Government Office for Science 2007)

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Obesity - Challenges to HCP’s

More obese people = increased hospital admissions and complex care

• Daily care – changing bed, bathing, toilet, turning

• Equipment – bed, chair, hoist, clothing, stockings

• Mobilising – Aids, manual handling

• Central venous access – markers not easily seen

• Skin care – skin folds, pressure ulcers (infection)

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Case Study

55 year old male

Height 1.6m Weight 100kg BMI 39

PMHx T2DM

Heart Failure

Osteoarthritis

Gastric Band 15 years ago (failed to achieve weight loss)

Gastric Bypass 12 years ago

Hernia Repair with Mesh 8 years ago

Infected Mesh recently removed

DHx Digoxin Diuretic

OHA’s NSAID’s

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Case Study - Biochemistry

U+E Na 125mmol/L

K 5.5mmol/L

Urea 15.5mmol/L

Creatinine 250umol/L

Mg 0.5mmol/L

LFTs Normal

Others CRP 250

random glucose 15mmol/L

Haematology Hb 9.5g/dl

WCC 18 x 109 / L

Plats 150 x 109 / L

Temperature 38°C

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Calculating Requirements - Where do we start? Assessment

Assess patient as a non obese patient

• Previous medical/surgical history

• Co morbidities

• Weight history

• Risk of re feeding syndrome

• Route of feeding

• Anthropometry

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Aims of nutrition support

• Prevent Catabolism

• Support wound healing

• Support immune function

• Avoid Over Feeding

• Avoid Fluid over load

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Estimating Energy Requirements

Main Components of energy expenditure

• Basal Metabolic Rate (BMR)

• Diet induced thermogenesis

• Level of activity

• Alterations to all above during illness/disease

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Indirect Calorimetry

Gold Standard for estimating energy requirements

• As food is oxidised, O₂ is utilised and CO ₂ produced

• Measures O₂ uptake and CO₂ released

• Energy expenditure can be calculated

• Unless conditions of BMR met, measures Resting Energy Expenditure

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Measuring Basal Metabolic Rate

The patient must be

• Fasted for 6-12 hours

• lying still at physical and mental rest

• thermo-neutral environment (27 – 29oC)

• no tea/coffee/nicotine in previous 12 hours

• no heavy physical activity previous day

• gases must be calibrated

• establish steady-state (30-40 minutes)

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Indirect Calorimetry

• Costly

• Requires Trained Personnel

• Takes time to complete (Port 2010)

Many equations that estimate BMR have been published. Few have been validated for use in obese

(Alves et al 2009)

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Estimating BMR Why is it difficult in the obese? As weight is gained, both fat mass and fat free mass

are gained

• Not in a linear fashion

• As the body gets fatter, more fat mass is gained than fat free mass

• Fat free mass is more metabolically active than fat mass

• Variable presence of chronic disease

(Dickerson 2005)

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Adjusted body weight?

Estimate of how much of the extra body weight is lean and thus metabolically active

• 25% adjusted weight = (actual body weight x 0.25) + ideal body weight

• adjusted average weight = (actual body weight + ideal body weight) x 0.5

• Ireton-Jones (1991) = Actual body weight should be used in estimation equations

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Predictive Equations - Schofield

Schofield (1985) is the most commonly used equation in UK (many others exist)

• meta analysis of 100 studies of 3500men and 1200 women

• studies conducted between 1914 and 1980

• 2200 (46%) subjects were military Italian adults

• 88 (1.2%) subjects were >60 years

• 4.5% subjects had BMI >30kg/m²

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Predictive Equations - Schofield

Horgan and Stubbs (2003) reassessed validity of the Schofield data to predict BMR in the obese, their conclusions were:

• BMR increases more slowly at heavier weights

• to ignore this is to over predict energy requirements

• any general equation for predicting BMR may be biased for some groups or populations

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Prediction Equations - Harris-Benedict

Published 1919

Data Collection 1909-1917

136 Men Mean BMI 21.4± 2.8

103 Women Mean BMI 21.5± 4.1

Tends to overestimate in healthy individuals

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Prediction Equations - Ireton-Jones

• Developed for specific patient groups

• Critical Illness

• Two IJEE equations (1992 and revised 2002) ▫ Spontaneously breathing patients (takes into account

obesity)

▫ Ventilator dependant patients

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Prediction Equations - Obesity

• underestimate the resting energy expenditure of obese individuals when IBW or AjBW is used

• overestimate energy expenditure when actual body weight is used

(Frankenfield 2003, Breen 2004)

• Does your patient fit in with the study used to determine the equations?

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Case Study – BMR

Actual Weight

(100kg)

Adjusted weight

(91kg)

Adjusted average weight (83kg)

Ideal Weight

(66kg)

Ireton Jones (1992)

2290 2209 2137 1984

Schofield

(1985)

2023 1920 1828 1632

Harris Benedict

(1919)

1870 1746 1636 1402

Ireton-Jones and Jones

(2002)

1915

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Alves et al 2009 (REE)

Absolute similarity between

• Indirect calorimetry

• Harris Benedict using Actual Body Weight

• Ireton-Jones (1992) using Adjusted Body Weight

Unacceptable variability when matched to REE Values

Indirect calorimetry gold standard

Equations used with caution

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SCCM and ASPEN Guidelines 2009

• Energy requirements should be calculated using indirect calorimetry or predictive equations

• Predictive equations should be used with caution

• Predictive equations cause more problems with obese patients

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SCCM and ASPEN Guidelines 2009

For those patients with a BMI ≥30kg/m²

• Hypocaloric feeding is recommended

• Aim to achieve 60-70% of (estimated or measured) target

• 11-14kcal/kg actual body weight (1100-1400)

• 22-25kcal/kg ideal body weight (1452-1650)

(Adjusted body weight not recommended)

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Diet induced thermogenesis (DIT) and Activity

Energy required to digest and absorb nutrition

• Continuous infusion of parenteral nutrition does not significantly increase REE

• Bolus feeding increases REE by ~ 8-10%

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Diet induced thermogenesis (DIT) and Activity

Bedbound immobile 10%

Bedbound mobile/sitting 15-20%

Mobile on ward 25%

Community Patient Physical Activity Level

(1.4-1.9)

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Stress Factors

Sources of stress Markers of Stress

Surgery Temperature

Infection CRP

Inflammation WCC

Injury Urea and Albumin

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Response to Stress Carbohydrate Metabolism Increased Counterregulatory Hormones

Increased inflammatory cytokine release

= gluconeogenesis

lipolysis

insulin resistance

→Hyperglyceamia

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Response to Stress Carbohydrate Metabolism

Obese patients with hyperglycaemia can result in

1. Poorer outcomes (Port 2010)

2. Increased CO₂ production → difficulty weaning if ventilated

3. Increased lipogenesis → fatty liver

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Response to Stress Carbohydrate Metabolism

Obesity related conditions affected by excess CHO

• Diabetes Mellitus, Metabolic Syndrome

• Obstructive Sleep Apnoea, Hypoventilation Syndrome

• Non alcoholic fatty liver disease, non alcoholic steatohepatosis

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Benefits of Hypocaloric high protein feeding • Reduced hyperglycaemia

• Spares lean body mass

• Fat mass loss

Dickerson (2002)

• Reduced ICU stay

• Reduced need for antibiotics

• Fewer days on mechanical ventilation

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Nitrogen Requirements

• Hormones

• Immune System

• Transport Proteins

• New Tissue

• Energy

▫ Large losses in Catabolic Phase

▫ Large losses in stoma/fistula output

▫ Increased Requirements during stress and growth

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Nitrogen Requirements (g/kg/day)

Normal 0.17 0.14-0.2

Depleted 0.3 0.2-0.4

Hypermetabolic

5-25%

0.2 0.17-0.25

Hypermetabolic

25-50%

0.25 0.2-0.3

Hypermetabolic

>50%

0.3 0.25-0.35 (Elia 1990)

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Nitrogen Requirements

BMI > 30kg/m²

• 75% of value estimated from weight

BMI > 50kg/m²

• 65% of value estimated from weight

(Elia 1990)

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Response to Stress Protein Metabolism Lean body mass is primary source of energy in the

obese during stress especially when protein requirements are not met

Jeevanandam (1991)

Non obese 61% REE from fatty acid oxidation

Obese 39% REE from fatty acid oxidation

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Response to Stress Protein Metabolism Glucose requirements met by gluconeogenesis

Amino Acid oxidation = ↑Nitrogen loss in urine

Amino Acids also used for synthesis of acute phase proteins

=Breakdown and loss of lean tissue (Reid and Campbell 2004)

Meet protein requirements first, then carbohydrate and fat

(Elamin 2005)

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SCCM and ASPEN Guidelines 2009

For those patients with a BMI 30-40kg/m²

• ≥2.0g protein / kg ideal body weight/day

For those patients with a BMI ≥40kg/m²

• ≥2.5g protein / kg ideal body weight/day

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Case Study – Protein

For those patients with a BMI 30-40kg/m²

• ≥2.0g protein / kg ideal body weight/day (ASPEN 2009)

= 132g protein (21g Nitrogen)

Realistic?

• 0.2g/kg/day = 20g Nitrogen (125g protein)

• 75% = 15g Nitrogen (94g protein)

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Effects of Over feeding

Substrate Consequence Monitor

Carbohydrate Hyperglycaemia Hypertriglyceridemia Hepatic Steatosis

BM’s, PCO₂, pH Triglycerides BM’s, Tg’s

Protein Azotemia Hypertonic Dehydration Metabolic Acidosis

Blood urea nitrogen Na, hydration pH,

Fat Hypertriglyceridemia Fat Over Load Syndrome

Triglycerides LFT’s, resp function

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Fluid Requirements

18-60 years old = 35ml/kg/day

>60 years old = 30ml/kg/day

• Temperature; add 2-2.5ml/kg/day for each °C rise above 37 °C

• Replace losses

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Case Study – Fluid Requirements

35ml/kg = 3500ml

+

2ml/kg/day (pyrexial) = 200ml

+

Losses = X

= Potential Fluid Overload

Current Na 125mmol/l ? Overload/loss

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Fluid Balance

Fluid restriction may be necessary as obese patients are more at risk of

• Pulmonary Oedema

• Congestive heart failure (Dickerson 2005)

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Electrolyte Requirements

? Use Ideal Body Weight and monitor serum concentration

Sodium 1-1.5mmol/kg plus loss

Potassium 1-1.5mmol/kg plus losses

Calcium 0.1-0.15mmol/kg

Magnesium 0.1-0.2mmol/kg

Phosphate 0.5-0.7mmol/kg

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Conclusions

• No estimation equation accurately estimates requirements in obese individuals - Indirect Calorimetry remains gold standard

• Estimated Requirements are just a starting point

• Nutritional Monitoring is essential, including blood glucose and respiratory function

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Conclusions

• Optimise protein administration followed by Calories

• Nitrogen balance should be monitored, aiming to achieve positive balance

• A large prospective, randomised, double blind controlled trial is warranted to confirm the superiority of Hypocaloric, high protein regimens

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References • Alves V, da Rocha EE, Gonzalez MC, et al (2009) Assessment of resting energy expenditure of obese patients: comparison of

indirect calorimetry with formulae. Clin Nutr 28:299–304.

• Breen HB, Ireton-Jones CS (2004) Predicting energy needs in obese patients. Nutr Clin Pract 19:284–9.

• Choban PS, Flancbaum LF (2000) Feeding the obese patient. Clin Nutr 19:305–311.

• Dickerson RN (2005) Hypocaloric feeding of obese patients in the intensive care unit. Curr Opin Clin Nutr Metab Care 8:189–196.

• Dickerson RN, Boschert KJ, Kudsk KA, Brown RO (2002) Hypocaloric enteral tube feeding in critically ill obese patients. Nutrition 18:241–246.

• Elamin EM (2005) Nutritional care of the obese intensive care unit patient. Curr Opin Crit Care 11:300–303.

• Elia (1990) Artificial Nutrition Support. Medicine International 82:3392-3396

• Ernst B, Thurnheer M, Schmid SM, Schultes B (2009) Evidence for the necessity to systematically assess micronutrient status prior to bariatric surgery. OBES SURG 19:66-73

• FAO/WHO/UNU. Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. Technical Report Series No. 724. Geneva: World Health Organization

• Frankenfield DC, Rowe WA, Smith JS, Cooney RN (2003) Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc 103:1152–9.

• Government Office for Science (2007) Foresight report “Tackling Obesities: Future Choices – Modelling Future Trends in Obesity & Their Impact on Health (2nd Edition).

• Harris JA, Benedict FG (1919) A biometric study of basal metabolism in man. Publication 279. Washington, DC: Carnegie Institute of Washington

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References • Horgan GW, Stubbs J (2003) Predicting basal metabolic rate in the obese is difficult. European Journal of Clinical Nutrition 57,

335 – 340

• Ireton-Jones C, Jones JD (2002) Improved equations for predicting energy expenditure in patients: the Ireton-Jones equations. Nutr Clin Pract 17:29

• Ireton-Jones C, Turner WW (1991) Actual or ideal body weight: which should be used to predict energy expenditure? J Am Diet Assoc 91:193—195

• Jeevanandam M, Young DH, Schiller WR (1991) Obesity and the metabolic response to severe multiple trauma in man. J Clin Invest 87:262–269

• McClave SA, Martindale RG, Vanek VW, et al (2009) 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 277–316

• Office of Health Economics (2010) Shedding the Pounds; Obesity management, NICE guidance and bariatric surgery in England. Office of Health Economics, London

• Port AM, Apovian C (2010) Metabolic support of the obese intensive care unit patient: A current perspective. Curr Opin Clin Nutr Metab Care 13:184–191.

• Reid CL, Campbell IT (2004) Nutritional Support in trauma, sepsis and critical illness. Curr Anaesthesia and Critical Care 15;336-349

• World Health Organization(1998) Obesity: Preventing and Managing The Global Epidemic: Report of a World Health Organization Consultation on Obesity. Geneva: WHO; 1998