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Journal of Clinical Biochemistry and Nutrition logoLink to Journal of Clinical Biochemistry and Nutrition
. 2015 Apr 16;56(3):208–214. doi: 10.3164/jcbn.14-95

Comparison of energy metabolism and nutritional status of hospitalized patients with Crohn’s disease and those with ulcerative colitis

Azusa Takaoka 1,3, Masaya Sasaki 1,*, Mika Kurihara 1, Hiromi Iwakawa 1, Mai Inoue 1, Shigeki Bamba 2, Hiromitsu Ban 2, Akira Andoh 2, Yoshiko Miyazaki 3
PMCID: PMC4454083  PMID: 26060351

Abstract

This study aimed to compare the nutritional status and energy expenditure of hospitalized patients with Crohn’s disease (CD) and those with ulcerative colitis (UC). Twenty-two hospitalized patients with CD and 18 patients with UC were enrolled in this study. We analyzed nutritional status upon admission by using nutritional screening tools including subjective global assessment, malnutrition universal screening tool, and laboratory tests. We measured resting energy expenditure (mREE) of the patients with indirect calorimetry and predicted resting energy expenditure (pREE) was calculated by using the Harris-Benedict equation. Results presented here indicate no significant difference in nutritional parameters and energy metabolism between CD and UC patients. In UC patients, a significant correlation was observed between mREE/body weight and disease activity detected by the Lichtiger and Seo indices. However, there was no correlation between mREE/body weight and Crohn’s disease activity index in CD patients. Inflammatory cytokine interleukin-6 levels correlated with mREE/pREE in CD and UC patients while tumor necrosis factor-α was not. In conclusion, energy expenditure significantly correlated with disease activity in UC patients but not in CD patients. These results indicate that establishing daily energy requirements based on disease activity of UC is imperative for improving the nutritional status of patients.

Keywords: Crohn’s disease, ulcerative colitis, indirect calorimetry, energy metabolism, nutritional status

Introduction

Inflammatory bowel disease (IBD) such as Crohn’s disease (CD) and ulcerative colitis (UC) are chronic inflammatory disorders of the digestive tract with unknown etiology. Genetic and environmental factors have been correlated with the pathogenesis of IBD,(13) but the precise mechanisms remain unclear. Clinical symptoms in patients with CD include diarrhea, abdominal pain, weight loss, and other abdominal symptoms due to bowel obstruction. UC is associated with symptoms including bloody diarrhea, abdominal pain, weight loss, and fever. Furthermore, inflammation of the digestive tract and the aforementioned abdominal symptoms often lead to malnutrition. Patients with IBD have various nutritional and metabolic disturbances. Emaciation is found in 20–70% of hospitalized CD patients,(4,5) and approximately 75% of hospitalized CD patients are undernourished,(6,7) indicating that nutritional support is essential for CD patients. Nutritional therapies such as enteral nutrition (EN), total parenteral nutrition (TPN), and anti-tumor necrosis factor (TNF)-α treatment are useful induction therapies for CD patients. Although TPN is useful for bowel rest in the active stage of UC, EN does not induce or maintain remission in UC. Therefore, corticosteroids and immunosuppressive drugs are efficacious treatment options for UC patients.

It is generally accepted that the prevalence of nutritional deficiencies and malnutrition are higher in patients with CD than in patients with UC.(8) Han et al.(9) reported that the prevalence of weight loss, hypoalbuminemia, and intestinal protein loss was higher in patients with CD than in patients with UC. However, there are few reports about comparison of nutritional status between CD and UC patients except for this report. Protein energy malnutrition detected as body weight loss and hypoalbuminemia are observed in both CD and in UC patients.

Several studies have investigated the role of energy metabolism in patients with IBD. For example, there are reports that energy metabolism shifts to a hyper-metabolic state in CD patients.(1014) However, Schneeweiss et al.(15) indicated that measured resting energy expenditure (mREE) was not significantly different between CD patients and healthy controls. There are a few reports that have analyzed energy metabolism in patients with UC,(16,17) and there have not been studies identifying the relationship between nutritional status and energy metabolism in IBD patients. Recently, we used indirect calorimetry to identify that mREEs of Japanese IBD patients were significantly higher than that of healthy controls.(18,19) Here, we are the first to describe a comparative analysis of the nutritional status and energy metabolism of hospitalized patients with CD and UC.

Subjects and Methods

Patients

Twenty-two patients with CD and 18 patients with UC were enrolled in this study. The patients were admitted to the Gastroenterology Unit of the Shiga University of Medical Science Hospital between June 2011 and March 2014. The ethics committee of the Shiga University of Medical Science approved this study. All diagnoses of CD and UC were established by using radiological, endoscopic, histological, and clinical criteria.(20,21)

Methods

The following values were measured upon admission: 1) Anthropometrics: height (cm), weight (kg), body mass index (BMI) (kg/m2). 2) Nutritional screening: subjective global assessment (SGA),(22,23) malnutrition universal screening tool (MUST),(24) nutritional risk screening 2002 (NRS2002),(25) prognostic nutritional index (PNI) (10 × albumin (g/dl) + 0.005 × total lymphocyte count per cubic mm),(26) and controlling nutritional status (CONUT).(27) 3) Laboratory tests: levels of total protein (g/dl), albumin (g/dl), total cholesterol (mg/dl), triglyceride (mg/dl), hemoglobin (g/dl), C-reactive protein (CRP) (mg/dl). 4) Activity index: Crohn’s Disease Activity index (CDAI) for CD,(28,29) Lichtiger index and Seo index for UC.(30,31) 5) Energy metabolism measured by indirect calorimetry: mREE (kcal/kg/day), respiratory quotients (RQ). 6) Inflammatory cytokines: TNF-α (pg/dl) and interleukin-6 (IL-6) (pg/dl) were determined by using commercially available ELISA kits (R&D Systems, Minneapolis, MN).

Indirect calorimetry

mREEs and RQ were measured by using computed open-circuit indirect calorimetry (AE-300S; Minato Medical Science Co., Osaka, Japan).(18,19,3234) Indirect calorimetry was performed in the same ward in the hospital after an 8 h fast. Infusion of parenteral nutrition (PN) was continuous and period flow and gas calibration were performed prior to the measurements. After resting for a minimum of 30 min, the patients were assessed in a supine position with a facemask by using a pump that drew ambient air through the facemask at a constant rate. After equilibrium was reached for 10 min, respiratory exchange was performed continuously over a 30 min period. The mREE and RQ data were obtained every minute. The mREE was calculated from oxygen consumption (VO2) and carbon dioxide production (VCO2) by using the following Weir equation: mREE = (3.94 × VO2 + 1.11 × VCO2) × 1.44. Measurement of RQ was calculated as RQ = VCO2/VO2. The mREE was then compared with the predicted resting energy expenditure (pREE) by using the Harris-Benedict equation for men {pREE = 66.47 + 13.75 × W [weight (kg)] + 5.0 × H [height (cm)] – 6.75 × A [age (years)]} and women {pREE = 665.09 + 9.56 × W [weight (kg)] + 1.84 × H [height (cm)] – 4.67 × A [age (years)]}.

Statistical analyses

Statistical analyses were performed by using the Chi-square test when appropriate. Student’s paired t tests were used for the statistical analysis of parametric data, and the Mann-Whitney U test was used for the statistical analysis of nonparametric data. Correlation was investigated by using Spearman rank correlation tests. Results are presented as mean ± SD, and a p value <0.05 was considered statistically significant.

Results

Patient characteristics

Patient’s characteristics are shown in Table 1. We excluded one subject (UC patient with BMI 28.8 kg/m2) with a BMI ≥25 kg/m2. There was no significant difference in mean age, height, body weight, and BMI between CD and UC patients. In CD patients, 7 patients (32%) had mild to moderate disease (CDAI <220), and 15 patients (68%) had moderate to severe disease (CDAI 220–450). The Lichtiger index demonstrated that 9 UC patients (50%) had mild/moderate disease (Lichtiger index <11), and 9 UC patients (50%) had severe disease (Lichtiger index ≥11). Results from the Seo index identified eight patients (44%) with moderate disease (Seo index <220), and 10 patients (56%) with severe disease (Seo index ≥220). Seventeen patients with CD and 11 patients with UC received TPN, 5 patients with CD and 7 patients with UC received peripheral parenteral nutrition. Twenty-one patients with CD switched to EN from PN after treatment. The number of surgical operations performed was significantly more in CD patients than in UC patients.

Table 1.

Characteristics of patients with IBD (n = 40)

Characteristics CD patients (n = 22) UC patients (n = 18) p value
Gender (male/female) 16/6 12/6
Age (years) 30.8 ± 9.5 39.4 ± 16.9 0.064
Height (cm) 168.5 ± 7.5 163.5 ± 8.7 0.062
Body weight (kg) 53.0 ± 6.4 51.2 ± 8.9 0.466
BMI (kg/m2) 18.7 ± 2.5 19.1 ± 2.5 0.643
Type of CD (ileal/ileocolitic/colitic) 6/13/3
Type of UC (total colitis/left-side colitis) 12/6
Activity index
 CDAI for CD 255.0 ± 88.7
 Seo index for UC 222.2 ± 33.5
 Lichtiger index for UC 11.3 ± 2.8
Treatments
 PSL ≥20 mg/day 5 16
    <20 mg/day 17 2
 Azathioprine or Cyclosporine 10 12
 Leukocytapheresis 0 10
 Anti-TNF-α 18 2
Nutritional therapy
 TPN/PPN 17/5 11/7 0.267
 EN (switched from PN) 21
Surgical operation 9 1 0.010
Duration of the disease (years) 4.6 ± 6.0 3.6 ± 6.1 0.642

IBD, inflammatory bowel disease; CD, Crohn’s disease; UC, ulcerative colitis; BMI, body mass index; CDAI, Crohn’s Disease Activity Index; PSL, prednisolone; anti-TNF-α, anti-tumor necrosis factor-α; TPN, total parenteral nutrition; PPN, peripheral parenteral nutrition; EN, enteral nutrition; PN, parenteral nutrition. Each value represents the mean ± SD.

Nutritional screening

As shown in Table 2, according to SGA, 41.0% of CD patients and 33.3% of UC patients were considered severely malnourished. According to MUST, 68.2% of CD patients and 61.1% of UC patients were at high risk for malnutrition. CD patients were frequently qualified as severely malnourished by SGA detection and high-risk by MUST when compared to UC patients, but there were no significant difference between the patients for these parameters (p = 0.545, p = 0.767). According to NRS2002, 77.3% of CD patients and 83.3% of UC patients were considered at risk for malnutrition. Body weight loss over the 6-month period in CD and UC patients was 9.7 ± 6.8% and 7.1 ± 6.5%, respectively, although there was no significant difference between the groups (p = 0.737). According to PNI, 90.9% of CD patients and 83.3% of UC patients were considered at high risk (PNI ⩽40). The mean PNI in CD and UC patients was 34.0 ± 5.6 and 32.5 ± 6.9, respectively. According to CONUT, 36.4% of CD and 44.5% of UC patients were considered severe, and the mean CONUT in CD and UC patients was 7.50 ± 2.9 and 8.0 ± 3.3, respectively. There was no significant difference in PNI and CONUT between CD and UC patients.

Table 2.

Nutritional screening

CD patients (%) UC patients (%) p value
SGA
 Well nourished 4.5 0 0.545
 Moderately malnourished 54.5 66.7
 Severely malnourished 41.0 33.3
MUST
 Low risk 13.6 11.1 0.767
 Medium risk 18.2 27.8
 High risk 68.2 61.1
NRS2002
 Without nutritional risk 22.7 16.7 0.634
 With nutritional risk 77.3 83.3
PNI
 Low risk 9.1 16.7 0.471
 High risk 90.9 83.3
CONUT
 Normal 4.5 11.1 0.766
 Light 13.6 11.1
 Moderate 45.5 33.3
 Severe 36.4 44.5

SGA, subjective global assessment; MUST, malnutrition universal screening tool; NRS2002, nutritional risk screening 2002; PNI, prognostic nutritional index; CONUT, controlling nutritional status.

Laboratory tests and inflammatory cytokines

Total protein in UC patients (5.8 ± 0.6 g/dl) was significantly decreased compared to that in CD patients (6.4 ± 0.8 g/dl). There were 54.5% and 83.3% of CD and UC patients with serum albumin levels <3.0 g/dl (p = 0.053), and 72.7% and 66.7% with total cholesterol levels <140 mg/dl (p = 0.677), respectively. The results also indicated that 73.7% and 66.7% of CD and UC patients, respectively, had plasma IL-6 levels >4 pg/ml. Furthermore, 11.1% and 37.5% of CD and UC patients had serum TNF-α levels >2.8 pg/ml, respectively. There were no significant differences in the laboratory tests and inflammatory cytokines for CD and UC patients except for serum total protein (Table 3).

Table 3.

Laboratory tests and inflammatory cytokines

CD patients UC patients p value
Laboratory tests
 TP (g/dl) 6.4 ± 0.8 5.8 ± 0.6 0.009
 Alb (g/dl) 2.8 ± 0.5 2.6 ± 0.6 0.234
 T-cho (mg/dl) 127.5 ± 31.8 125.9 ± 36.5 0.882
 TG (mg/dl) 82.9 ± 31.1 90.0 ± 57.5 0.292
 Hb (g/dl) 11.0 ± 2.0 10.3 ± 3.0 0.430
 CRP (mg/dl) 6.6 ± 6.8 6.1 ± 5.5 0.925
Inflammatory cytokines
 IL-6 (pg/ml) 13.8 ± 13.4 17.0 ± 14.0 0.506
 TNF-α (pg/ml) 2.0 ± 0.7 2.7 ± 1.7 0.108

TP, total protein; Alb, albumin; T-cho, total cholesterol; TG, triglyceride; Hb, hemoglobin; CRP, C-reactive protein; IL-6, interleukin-6; TNF-α, tumor necrosis factor-α. Each value represents the mean ± SD.

Energy metabolism and its relationship to disease activity

In CD patients, mREE determined by indirect calorimetry was 1388.7 ± 226.6 kcal/day and pREE calculated by the Harris-Benedict equation was 1413.1 ± 127.9 kcal/day. In UC patients, mREE was 1341.6 ± 252.6 kcal/day and pREE was 1324.6 ± 174.8 kcal/day. There were no significant differences in mREE/body weight and RQ between CD and UC patients (Table 4).

Table 4.

Energy metabolism

CD patients UC patients p value
mREE (kcal/day) 1,388.7 ± 226.6 1,341.6 ± 252.6 0.538
pREE (kcal/day) 1,413.1 ± 127.9 1,324.6 ± 174.8 0.072
mREE/body weight (kcal/kg/day) 26.3 ± 3.8 26.3 ± 3.0 0.986
pREE/body weight (kcal/kg/day) 26.8 ± 2.1 26.1 ± 2.8 0.378
mREE/pREE 0.98 ± 0.13 1.01 ± 0.13 0.475
RQ 0.81 ± 0.07 0.79 ± 0.09 0.377

mREE, measured resting energy expenditure; pREE, predicted resting energy expenditure; RQ, respiratory quotient. Each value represents the mean ± SD.

In CD patients, there was no significant correlation between mREE/body weight and disease activity index (Fig. 1). However, there was a positive correlation between mREE/body weight and activity index in UC patients (Fig. 2). In both CD and UC patients, there was no significant correlation between CRP levels and mREE/body weight or CRP levels and mREE/pREE. Results in Fig. 3 indicate a positive correlation between IL-6 levels and mREE/pREE or mREE/body weight in CD patients. Furthermore, in UC patients, there was a positive tendency of correlation between IL-6 levels and mREE/pREE (p = 0.062) (Fig. 4). However, there was no significant correlation between TNF-α levels and mREE/pREE or mREE/body weight in CD and UC patients.

Fig. 1.

Fig. 1

Correlation between measured resting energy expenditure/body weight (mREE/body weight) and Crohn’s Disease Activity Index (CDAI) in CD patients. There was no correlation between mREE/body weight and CDAI in CD patients.

Fig. 2.

Fig. 2

Correlation between measured resting energy expenditure/body weight (mREE/body weight) and the Lichtiger and Seo indices in UC patients. The mREE/body weight in UC patients exhibited positive correlation with both the Lichtiger index (A) and Seo index (B).

Fig. 3.

Fig. 3

Correlation between interleukin-6 (IL-6) levels and tumor necrosis factor-α (TNF-α) levels and measured resting energy expenditure/predicted resting energy expenditure (mREE/pREE) or mREE/body weight in CD patients. IL-6 levels in CD patients exhibited positive correlation with mREE/pREE (A) and mREE/body weight (B). However, there was no significant correlation between TNF-α and mREE/pREE (C) or mREE/body weight (D) in CD patients.

Fig. 4.

Fig. 4

Correlation between interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) levels and measured resting energy expenditure/predicted resting energy expenditure (mREE/pREE) or mREE/body weight in UC patients. IL-6 levels in UC patients exhibited positibe correlation with mREE/pREE (p = 0.062) (A). However, there was no significant correlation between IL-6 and mREE/body weight (B), or correlation between TNF-α and mREE/pREE (C) or mREE/body weight (D) in UC patients.

Discussion

It is well known that malnutrition is a significant health problem in IBD patients. It is also accepted that the prevalence of nutritional deficiencies and malnutrition is higher in patients with CD than in patients with UC. It has been hypothesized that increased malnutrition in CD patients is associated with transmural inflammation of the gastrointestinal tract while UC is characterized by inflammation limited to the colonic mucosa. However, despite the indisputable role of IBD in malnutrition, there are few reports on the comparative analysis of nutritional status and energy metabolism of CD and UC patients. One report by Han et al.(9) demonstrated a high prevalence of abnormal laboratory tests including serum albumin and micronutrient levels in CD patients. In our study, we investigated laboratory tests and nutritional status by using SGA, MUST, NRS2002, PNI, and CONUT. Here, we clearly demonstrated that the nutritional condition of hospitalized UC patients is poor and almost equal to that of CD patients.

Mijac et al.(35) reported no significant difference in nutritional parameters between CD and UC patients except for lower mid-arm muscle circumference in UC patients. However, patients enrolled in their study were well nourished compared to patients enrolled in our study, and had BMI and serum albumin levels 21.4 ± 3.7 kg/m2 and 3.1 ± 0.7 g/dl, respectively. Conversely, in our study, the mean BMI was 18.9 ± 2.5 kg/m2, and serum albumin levels were 2.7 ± 0.5 g/dl. Furthermore, Mijac et al. and colleagues conducted their study in Serbia where the prevalence of men and women over 20 years old who are overweight or obese was higher than 50%.(36) In Japan, the prevalence of men and women over 20 years old who are overweight or obese is 28.9% and 17.6%, respectively. Additionally, our study enrolled IBD patients with severe disease and a compromised nutritional status, and the apparent difference in race should be taken into account when comparing the studies. In this study, we identified no significant difference in the nutritional status of CD and UC patients, which is supported by results published by Mijac et al.(35) However, both groups demonstrated risk for malnourishment, highlighting the necessity of nutritional management in both patients with active CD and UC, although the number of patients in this study was not large as Mijac’s study.

This is the first report to compare resting energy expenditure in CD and UC patients although several reports have documented that IBD patients exhibit energy metabolism shifts to a hyper-metabolic status.(1014,16,17) Previously, we reported that Japanese IBD patients had significantly higher mREE when compared to healthy controls by using indirect calorimetry.(18,19) In this study, there was no significant difference in mREE or RQ between CD and UC patients. However, a positive correlation between mREE and disease activity was identified in UC patients.

Several studies have investigated the relationship between energy metabolism and disease activity in CD patients. For example, Wiskin et al.(37) reported that there was no relationship between disease activity and mREE or CRP in childhood CD patients. Recently, Gong et al.(38) also reported no significant correlation between mREE and disease activity when using CDAI in adult CD patients. In our study, we showed there was no relationship between energy metabolism and CDAI or CRP in CD patients, which is supported by observations from previous studies. However, in UC patients, the relationship between energy metabolism and disease activity had not been thoroughly investigated. Previously, we reported a positive correlation between mREE and the Lichtiger index in UC patients.(19) Here, we clearly demonstrated that energy metabolism correlated with the Lichtiger and Seo indices, and we confirmed that disease activity affected the energy metabolism in UC patients. These results suggest that nutritional status of UC patients is determined by energy requirements according to disease activity.

It has been shown that disease activity and CRP levels are not always linked in active IBD patients.(39,40) Our results presented here indicate no significant correlation between mREE and CRP levels in CD and UC patients. This confirms previous study by Wiskin et al.(41) who identified no significant correlation between mREE and CRP levels in children with IBD.

The results in this study showed that energy expenditure was correlated with IL-6 levels, but not with TNF-α levels. Pro-inflammatory cytokines significantly affect energy metabolism in patients with systemic inflammatory diseases including IBD.(42,43) Previously, we reported that IL-6 levels correlated with energy metabolism in CD patients.(34) In this study, IL-6 levels correlated with mREE/pREE in CD patients (p<0.05) and UC patients (p = 0.062). In CD patients, serum IL-6 level but not serum TNF-α level was reported to be important marker as disease activity.(44) Furthermore, it was reported that the increased production of proinflammatory cytokines, particularly of IL-6 and IL-8, play an important role in the pathogenesis of UC.(45) In this study, we demonstrate that energy metabolism correlated to IL-6 levels in CD and UC patients. Kotani et al.(46) reported that mREE/pREE was significantly correlated to IL-6 levels and was not correlated with TNF-α levels after surgical trauma.

In conclusion, hospitalized CD and UC patients exhibited severe nutritional status and had similar energy expenditure. However, energy expenditure significantly correlated with disease activity in UC patients, but not in CD patients. Therefore, it is important to determine the daily energy requirements correlated with disease activity for active UC patients in order to improve nutritional conditions for these patients.

Conflict of Interest

No potential interests of conflict were disclosed.

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