Showing posts with label Nutrition. Show all posts
Showing posts with label Nutrition. Show all posts

June 22, 2014

Nutrition and exercise in the management of liver cirrhosis

World J Gastroenterol. 2014 June 21; 20(23): 7286-7297.

Published online 2014 June 21. doi: 10.3748/wjg.v20.i23.7286.

Copyright ©2014 Baishideng Publishing Group Inc. All rights reserved.

Nobuyuki Toshikuni, Tomiyasu Arisawa and Mikihiro Tsutsumi.

Nobuyuki Toshikuni, Tomiyasu Arisawa, Department of Gastroenterology, Kanazawa Medical University, Ishikawa 920-0293, Japan

Mikihiro Tsutsumi, Department of Hepatology, Kanazawa Medical University, Ishikawa 920-0293, Japan

Author contributions: Toshikuni N wrote the manuscript; Arisawa T and Tsutsumi M supervised the work.

Correspondence to: Nobuyuki Toshikuni, MD, Department of Gastroenterology, Kanazawa Medical University, 1-1 Daigaku, Uchinada-machi, Ishikawa 920-0293, Japan. n.toshikuni@gmail.com

Telephone: +81-76-2862211 Fax: +81-76-2860892

Received January 4, 2014; Revised March 22, 2014; Accepted April 30, 2014;

Abstract

Liver cirrhosis (LC) patients often have protein-energy malnutrition (PEM) and decreased physical activity. These conditions often lead to sarcopenia, which is the loss of skeletal muscle volume and increased muscle weakness. Recent studies have demonstrated that PEM and sarcopenia are predictors for poor survival in LC patients. Nutrition and exercise management can improve PEM and sarcopenia in those patients. Nutrition management includes sufficient dietary intake and improved nutrient metabolism. With the current high prevalence of obesity, the number of obese LC patients has increased, and restriction of excessive caloric intake without the exacerbation of impaired nutrient metabolism is required for such patients. Branched chain amino acids are good candidates for supplemental nutrients for both obese and non-obese LC patients. Exercise management can increase skeletal muscle volume and strength and improve insulin resistance; however, nutritional status and LC complications should be assessed before an exercise management regimen is implemented in LC patients. The establishment of optimal exercise regimens for LC patients is currently required. In this review, we describe nutritional status and its clinical impact on the outcomes of LC patients and discuss general nutrition and exercise management in LC patients.

Keywords: Liver cirrhosis, Protein-energy malnutrition, Sarcopenia, Obesity, Exercise

Core tip: Recent studies have shown that sarcopenia is a predictor of poor survival in liver cirrhosis (LC) patients. LC-associated sarcopenia develops based on impaired nutrient metabolism and decreased physical activity. To improve this condition, nutrition and exercise management is imperative. Energy intake with branched chain amino acid supplementation is a promising method for nutrition management. Exercise can increase skeletal muscle volume and strength; however, nutritional status and LC complications should be assessed before exercise management begins. Obesity is another health issue for LC patients; improvement of insulin resistance is a key component in nutrition and exercise management for obese LC patients.

INTRODUCTION

Liver cirrhosis (LC) is a critical stage of chronic liver disease with poor outcomes. Substantial data have indicated that poor liver function and the occurrence of hepatocellular carcinoma (HCC) are responsible for the shortened survival of LC patients[1-4]. Accumulating data have also demonstrated that LC patients often develop protein-energy malnutrition (PEM) at a rate of 25.1%-65.5%[5-8] and that PEM plays a crucial role in their poor survival[6,9-11]. LC-associated PEM occurs in combination with poor dietary intake, malabsorption, increased intestinal protein loss, decreased hepatic protein synthesis, abnormal substrate utilization, and hypermetabolism[12,13]. Individuals with PEM typically suffer from a loss of skeletal muscle volume and from muscle weakness; this condition is classified as sarcopenia[14]. Aging-related sarcopenia is defined as primary sarcopenia, while LC is a cause of secondary sarcopenia[15]. Recent studies have demonstrated that sarcopenia is an independent predictor of poor survival in LC patients with or without HCC[16,17]. However, over-nutrition is increasingly affecting humans worldwide[18], and thus, overweight/obesity are frequently observed in LC patients. For example, 72.4% of patients had excess caloric intake in a study of compensated hepatitis C virus (HCV)-related LC[19], and 61% of compensated HCV-related LC patients have a body mass index (BMI) ≥ 25 kg/m2[20]. Both chronic HCV infection[21] and overweight/obesity can cause insulin resistance, which raises the risk of liver fibrosis progression[22] and HCC occurrence[23] in HCV-related LC. Thus, clinicians are now confronted with problems related to malnutrition and overnutrition in the management of LC. In this review, we describe nutritional status and its clinical impact on the outcomes of LC patients and discuss nutrition and exercise management strategies for LC patients.

ENERGY METABOLISM ASSOCIATED WITH PEM IN LC PATIENTS

Metabolic activity

Metabolic activity can be assessed by comparing a measured resting energy expenditure (REE) and a predicted REE[24]. There are notable differences in metabolic activity among LC patients; previous studies have reported that 15%-33.8% of LC patients exhibited hypermetabolism, while 8%-31% were hypometabolic[7,8,25,26]. Earlier studies with LC patients demonstrated that a hypermetabolic state is strongly associated with decreased muscle volume[27]. Increased beta-adrenergic activity may explain, at least in part, hypermetabolism[26]. In a multicenter prospective study, a detailed analysis of metabolic activity and energy balance in LC patients was conducted. The results showed that PEM significantly correlated with Child-Pugh grade, that hypermetabolic and hypometabolic patients showed a significant decrease in kg of free fat mass, and that hypermetabolic patients had a positive energy balance due to decreased physical activity, while hypometabolic patients had a negative energy balance due to a reduced caloric intake[7].

The relationship between metabolic activity and outcomes in LC patients has been investigated. A study found that survival rate is significantly higher in normal metabolic LC patients than in hypometabolic or hypermetabolic LC patients[10]. Furthermore, some results have suggested that LC-related hypermetabolism is a factor associated with both transplant-free[25,28] and post-transplantation survival[29]. Hypermetabolic LC patients have decreased transplant-free survival compared with non-hypermetabolic LC patients (9.7 mo vs 31.8 mo, P = 0.05)[28]. Moreover, in a study of patients with end-stage liver disease, pre-transplantation hypermetabolism was associated with decreased post-transplantation survival[29].

Carbohydrate and lipid metabolism

The liver plays a critical role in carbohydrate and lipid metabolism. Ingested carbohydrates are taken up by the liver and converted into and stored as glycogen. In the fasting state, glucose is generated in the liver via glycogenolysis and gluconeogenesis; thus, blood glucose levels are maintained[30]. Because LC patients have decreased gluconeogenesis ability and glycogen stores capacity[31], they are prone to entering into a starvation state after a relatively short fasting period (e.g., overnight)[32]. In this situation, lipid metabolism is enhanced; energy metabolism shifts from a carbohydrate preference to lipid oxidation preference[33-35]. Accordingly, free fatty acid (FFA) levels are elevated in LC patients. A previous study found that impaired re-esterification rather than accelerated lipolysis elevates FFA in LC patients[36].

Protein metabolism

Because albumin synthesis is decreased in LC patients, serum albumin levels inversely correlate with the grade of liver dysfunction[37]. Furthermore, in a study of compensated LC patients with alanine aminotransferase levels > 50 IU/L, a positive correlation between serum albumin levels and skeletal muscle volume was observed[38]. LC-associated PEM accelerates protein catabolism, which is the overall breakdown of cellular proteins, mainly in skeletal muscles, and which provides amino acids, especially branched chain amino acids (BCAAs), for protein synthesis and energy supply[39-41]. BCAAs consist of leucine, isoleucine, and valine. In a study with LC patients, energy efficacy (increased energy expenditure/energy equivalent of the supplemented nutrient) was significantly higher in BCAAs (96% ± 16%) than in glucose (96% ± 16% vs 41% ± 8%, P < 0.01) and fatty acids (96% ± 16% vs 27% ± 13%, P < 0.05)[42]. Moreover, BCAAs are consumed for ammonia detoxification in LC patients in whom hepatic detoxification to urea is impaired. Skeletal muscles and, to a lesser extent, the brain clear blood ammonia by incorporating ammonia into the process of glutamine production from glutamate. During the process, BCAAs are required for glutamate synthesis[40]. Thus, there is a frequent lack of BCAAs in LC patients, resulting in decreased albumin synthesis. In contrast to decreased BCAA levels, aromatic amino acid (AAA) levels are typically increased in LC patients[43,44], although underlying mechanisms for the altered AAA metabolism in LC are not fully understood. A decrease in the BCAA to AAA ratio (Fischer ratio; BCAA to tyrosine ratio, BTR) is thought to play a causal role in hepatic encephalopathy by enhanced brain AAA uptake and subsequent neurotransmission disturbance[45]. Recent studies have suggested that this amino acid imbalance occurs in the early stages of LC[46].

IMPACT OF SARCOPENIA ON LC PATIENT OUTCOMES

Sarcopenia

As described above, protein breakdown from skeletal muscles is an important pathologic mechanism for sarcopenia in LC patients. Recently, some analyses have indicated that hyperammonemia can cause sarcopenia. The results of an animal experiment demonstrated that skeletal muscle autophagy is induced by hyperammonemia and may contribute to sarcopenia in cases of LC[47]. Another study showed that skeletal muscle from LC patients had increased expression of myostatin, a known inhibitor of skeletal muscle accretion and growth. That study found that myostatin expression is induced by hyperammonemia in murine myotubes, suggesting a mechanism by which sarcopenia develops in LC patients[48].

Recent studies have examined outcomes in LC patients with sarcopenia[16,17]. In a study of LC patients in which sarcopenia was observed in 40% of the patients, sarcopenia, Child-Pugh scores, and model for end-stage liver disease (MELD) scores were each found to be independent factors for mortality, with the mortality risk more than 2-fold higher in sarcopenic than nonsarcopenic patients[16]. Interestingly, the study also revealed a strong relationship between sarcopenia and sepsis-related death, which may reflect the impaired immunity found in LC patients. In line with those findings, a prospective study of LC patients demonstrated that PEM is an independent predictor of bacterial infection[49]. Furthermore, sarcopenia has been shown to correlate with poor survival after liver transplantation[50,51].

Sarcopenic obesity

The current global obesity epidemic has created a new condition: the combination of sarcopenia and obesity, described as sarcopenic obesity[52]. Because LC patients occasionally have sarcopenia (40%)[16] and obesity (30%-31%)[53,54], it can be deduced that a considerable number of them may have sarcopenic obesity. Furthermore, obesity is frequently accompanied by nonalcoholic fatty liver disease (NAFLD), and the prevalence of this liver disease is increasing in industrialized countries[55-57]. NAFLD can progress to nonalcoholic steatohepatitis and LC. Given this global trend, sarcopenic obesity will likely be a major condition in LC patients in the future.

Obesity typically occurs in tandem with decreased physical activity[58,59], which may create a vicious cycle of sarcopenia progression. Obesity also induces insulin resistance and systemic inflammation, both of which prompt hypercatabolism and impair the anabolic effect of muscles, resulting in protein breakdown stimulation and muscle synthesis suppression[59-61]. Moreover, a recent study revealed that sarcopenic obesity is more closely associated with insulin resistance than sarcopenia or obesity alone[62]. Taken together, this new condition appears to accelerate sarcopenia progression.

Although sarcopenia has been reported to be predictive of poor survival in LC patients[16,17], the impact of sarcopenic obesity on LC patient outcomes remains unknown. However, it has been suggested that obesity is an independent predictor of hepatic decompensation in LC patients[53]. Furthermore, obesity has been shown to be a risk factor for LC-related death or hospitalization[63,64]. A study of cancer patients revealed that sarcopenic obesity is associated with a poorer functional status compared with obesity without sarcopenia and is an independent predictor of survival[65]. These findings provide the rationale for further studies to clarify whether sarcopenic obesity worsens LC patient outcomes.

Table 1 lists the methods used to assess PEM and sarcopenia.

Capture

Indirect calorimetry

Indirect calorimetry can measure oxygen consumption per minute (VO2) and carbon dioxide production per minute (VCO2), thus calculating energy expenditure and non-protein respiratory quotient (npRQ). npRQ is considered to be a good marker for PEM assessment. In LC patients, npRQ is lower than in normal controls due to a shift of preferred energy metabolism from carbohydrate to lipid oxidation. A recent study of LC patients has revealed that the survival rate is significantly lower in patients with low npRQ (< 0.85) than in patients with scores above 0.85 (P < 0.01)[10]. Although the utility of indirect calorimetry in assessing energy metabolism has been proven, the high cost constrains its clinical application.

Anthropometric measurement

Because skeletal muscle volume reflects nutritional status, anthropometric measurement has been conducted to assess PEM in LC patients[66,67]. PEM indices include triceps skinfold thickness (TSF), arm muscle circumference (AMC), and arm circumference (AC). A study with LC patients reported that decreased AMC and TSF correlate with malnutrition and decreased liver functional reserve[67]. Accumulated data found a significant association between nutritional status estimated by anthropometric measurement and outcomes in LC patients. A previous study suggested that AMC may improve the prognostic capacity of Child-Pugh scores in LC patients[68]. Another study demonstrated that AMC and TSF may be useful in predicting survival of LC patients. In addition, the prognostic power of AMC was found to be higher than that of TSF[9]. A more recent study examined whether the anthropometric indices are alternatives to npRQ. When the measured values were expressed as percentages of normal values, percent of AMC and percent of AC were found to significantly correlate with npRQ, and a formula using %AC and Child-Pugh scores could represent npRQ[69]. External validation is needed to verify the relationship between the measurement values and npRQ. Although anthropometric measurements are simply and inexpensively performed, the interpretation of the measured values should be performed carefully. For example, a study suggested that AMC may be affected by edema[70], a symptom frequently observed in LC patients. Furthermore, possible errors related to anthropometric measurements should be noted: repeated measurements providing different values (unreliability, imprecision, undependability) and measurements departing from true values (inaccuracy, bias)[71].

Bioimpedance analysis

Bioimpedance analysis (BIA) is another measure to assess PEM. This method is based on the measurement of tissue conductivity[72]. Skeletal muscle is a major body component with low resistance and is therefore a dominant conductor[73]. A study with LC patients has demonstrated that BIA is a reliable bedside tool for the estimation of body cell mass, although it is limited in the case of LC with ascites[74]. The phase angle (PA) is a derived measure calculated from two parameters of BIA: PA = arc-tangent reactance/resistance × 180°/π[75]. Several studies have demonstrated that PA is useful in the assessment of the nutritional status in hemodialysis[76] or preoperative[77] patients. Another study has suggested that PA can serve as a prognostic indicator in cancer patients[78]. With regard to LC, a recent study indicated that PA is a promising parameter for the assessment of patient nutritional status[79]. Furthermore, a study suggested that PA is more predictive of survival than commonly used body composition information: a low PA is associated with shorter survival time[80]. Several studies have revealed that the estimated values of skeletal muscle mass obtained by BIA are not significantly different from those obtained by magnetic resonance imaging (MRI)[73] or dual energy X-ray absorptiometry (DXA)[81] (see below). Because of its convenience and low cost, BIA is a potential alternative to these imaging methods[14].

Methods for sarcopenia assessment

Imaging methods: There are several methods for sarcopenia assessment. Computed tomography (CT) is an imaging method that permits the precise measurement of skeletal muscle volume. CT technology enables specific tissue demarcation according to a CT measure of the tissue, thereby permitting calculation of its area. Human muscle tissue has a CT number in the range of -29 to +150 hounsfield units (HU). Muscles at the third lumbar (L3) vertebra encompass the psoas, erector spinae, quadratus lumborum, transversus abdominis, external and internal obliques, and rectus abdominis. A recent analysis revealed that the calculated L3 muscle area accurately represents the whole-body skeletal muscle volume (r = 0.86-0.94, P < 0.001)[82]. Based on that finding, the L3 muscle area normalized for stature (cm2/m2) can be used as an index of skeletal muscle volume (the L3 skeletal muscle index, L3 SMI)[65]. Although cutoff values for diagnosing sarcopenia have not been established, a recent study used cutoff values of 38.5 cm2/m2 for women and 52.4 cm2/m2 for men[65]. MRI has also been used for the assessment of skeletal muscle volume and sarcopenia[73,83,84].

DXA is another imaging method used in sarcopenia assessment. This method allows for the measurement of bone, fat, and lean-tissue content. Appendicular skeletal muscle mass (ASM) accounts for more than 75% of the total body skeletal muscle mass and can thus serve as a marker for sarcopenia[59,85]. ASM divided by height squared (ASM/Ht2; kg/m2)[86] and ASM as a percentage of body weight (ASM/Wt)[87] have been proposed as indices for sarcopenia. Sarcopenia has been defined as an ASM < 1 SD[62] or < 2 SD[59] below the sex-specific mean for a young reference group. The accuracy of the DXA method has been shown to be comparable to that of the CT or MRI method[84,88], and the DXA method requires less radiation exposure and costs than the CT method[88].

Handgrip strength: Decreased muscle strength reflects a decreased volume of skeletal muscle. The European Working Group on Sarcopenia in Older People (EWGSOP) recommends handgrip strength as a practical measure of muscle strength[14]. Handgrip strength has been shown to be a useful marker for the assessment of nutritional status in LC patients[89]. Moreover, a previous analysis has revealed that handgrip strength can be a useful predictor of hepatic decompensation in LC patients[6]. However, it should be noted that considerable variation in the measurement methods has the potential to introduce measurement errors[90].

NUTRITION MANAGEMENT FOR LC PATIENTS

Management for PEM in LC patients

Dietary management: Poor dietary intake is an important cause of PEM in LC patients. In a study of nutritional status in LC patients, decrease in daily caloric intake paralleled worsening of progressive liver failure: 48% and 34% of Child A patients, 51.7% and 35.8% of Child B patients, and 80.3% and 62.9% of Child C patients at admission had a caloric intake below 30 kcal/kg of body weight and protein intakes below 1 g/kg of body weight, respectively (P < 0.001). Furthermore, poor dietary intake was found to be an independent predictor for in-hospital mortality[67]. Some studies have aimed to clarify whether efforts to increase dietary intake can improve the outcome of LC patients, and short-term follow-up has suggested an improvement of nutritional status[91,92]. A study of alcoholic LC patients demonstrated that an increase in dietary intake altered the energy metabolism of Child C patients from preferred lipid oxidation to preferred carbohydrate metabolism. However, the dietary management appeared to be limited in improving nutritional status in end-stage LC patients, such as those with refractory ascites[92]. The European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines recommend that energy and protein intake should be 35-40 kcal/kg of body weight per day and 1.2-1.5 g/kg of body weight per day, respectively[93].

The timing of dietary intake can influence energy metabolism. Because LC patients are prone to entering a starvation state after a relatively short fasting period, a large number of small meals (“nibbling” pattern) rather than a small number of large meals (“gorging” pattern) is considered preferable to maintain optimal energy metabolism[94,95]. Several studies of LC patients found that late nocturnal energy supplementation altered energy metabolism from preferred lipid oxidation to preferred carbohydrate metabolism[96,97]. More recently, a randomized controlled trial with LC patients suggested that nocturnal energy supplementation may be superior to daytime energy supplementation for protein accretion[98].

BCAA supplementation: As previously discussed, a lack of BCAAs in LC patients can accelerate muscular protein catabolism, decreased albumin synthesis, and hyperammonemia and associated hepatic encephalopathy. A loss of skeletal muscle volume (i.e., sarcopenia)[16], low serum albumin levels[99-104], and hepatic encephalopathy[105] have been found to be predictors of poor survival in LC patients. These findings lead to the notion that BCAA supplementation may restore impaired protein metabolism and thereby improve outcomes of LC patients. Indeed, previous studies have revealed that BCAA administration stimulates albumin synthesis[40] and protein synthesis in skeletal muscles[106]. Of the BCAAs, leucine[106-108] is considered to play a central role in the synthesis process, of which, the mammalian target of rapamycin (mTOR)[106,107] appears to be a key component in controlling its signaling pathway.

BCAA administration can be conducted either orally or intravenously. A BCAA-enriched amino acid solution has been used in the treatment of acute hepatic encephalopathy for several decades, and its utility has been demonstrated[109]. Oral BCAA-enriched formulas, BCAA granules and BCAA and carbohydrate mixtures, have been used in the effort to achieve preferred nutritional status and improved outcomes of decompensated LC patients[110]. Studies with LC patients have demonstrated that serum albumin levels and npRQ increased with oral BCAA supplementation[111,112]. In a study of HCV-related LC, the intake of BCAA and carbohydrate mixtures as late evening snacks was more effective in increasing serum albumin levels and improving energy metabolism than ordinary food intake[111]. Long-term follow-up studies of BCAA supplementation for LC patients showed positive results. In a randomized clinical trial with decompensated LC patients, supplementation with BCAA granules contributed to preventing progressive liver failure[113]. A similar randomized controlled trial found that supplementation with BCAA granules increased serum albumin levels and contributed to decreased liver failure and mortality[114].

Thus, BCAA supplementation is an effective therapeutic strategy for improving energy metabolism and overall outcomes in LC patients. This nutritional treatment is recommended in several guidelines[93,115]. The optimal timing of BCAA administration during the course of LC remains to be determined, although one randomized controlled trial suggested that patients with a BTR of < 4 should begin BCAA treatment even in cases of compensated LC[116]. Given the close relationship between BCAAs and protein synthesis in skeletal muscles, future studies focusing on the benefits of BCAA supplementation on sarcopenia in LC are necessary. In addition, some evidence suggests that BCAAs are essential for lymphocyte responsiveness and are necessary to support other immune cell functions[117]. Whether BCAA treatment can improve immunity in LC patients with sarcopenia and decrease the incidence of severe infection requires investigation.

Nutrition management of obese LC patients

With the increasing prevalence of obesity worldwide, the prevalence of obese LC patients is increasing[54]. Given that obesity accompanied by LC can accelerate hepatic decompensation[53], enhance hepatocarcinogenesis[118,119], and result in poor patient survival[63,64], nutrition management is imperative for obese LC patients. The restriction of excessive caloric intake without exacerbation of impaired nutrient metabolism is necessary for successful LC management. Furthermore, obesity is closely linked to insulin resistance; this metabolic problem increases the risk of disease progression, hepatocarcinogenesis, and mortality in LC patients[120]. Considering that obesity can exacerbate sarcopenia-associated insulin resistance[62,121], nutrition strategies for insulin resistance appear to be important, particularly in LC patients with sarcopenic obesity. Recent studies have suggested that BCAA supplementation is effective in improving insulin resistance[122,123]. Of the BCAAs, leucine appears to play a critical role in controlling carbohydrate metabolism; the amino acid regulates the oxidative use of glucose by skeletal muscle through the stimulation of glucose recycling via the glucose-alanine cycle[122]. Further trials are required to establish dietary regimens, such as dietary nutrient balance, for obese LC patients.

EXERCISE MANAGEMENT FOR LC PATIENTS

Physical activity and exercise capacity in LC patients

A recent survey of LC patients reported that physical activity levels were lower in LC patients than in healthy controls[124]. The survey results also suggested that low levels of physical activity were inversely associated with insulin resistance. In a study of compensated LC, low levels of physical activity and poor caloric intake were closely linked to sarcopenia[125]. These findings indicate that increased physical activity may prevent and improve sarcopenia in LC patients. Indeed, in studies of the elderly[126] or patients with certain types of chronic diseases[127], exercise management has been shown to be effective in preventing and improving sarcopenia.

Exercise capacity is described as the ability to use oxygen during exercise. The commonly used measure of exercise capacity is maximal oxygen consumption (VO2max)[128]. Studies with LC patients have shown decreased exercise capacity as evaluated by VO2max[129,130] and an inverse relationship between exercise capacity and the severity of liver disease[130-132]. Recent research has demonstrated that a decrease in exercise capacity is not only associated with LC severity but also predictive of mortality after liver transplantation[133,134]. Earlier studies on exercise management demonstrated that physical training programs as short as approximately one month were useful in increasing VO2max or peak oxygen consumption (VO2peak) in LC patients[131,135].

Given these findings, exercise management is a key component in the management of LC patients because it can lead to increases in physical activity, skeletal muscle volume and strength, and exercise capacity, ultimately improving the quality of life and survival.

Assessment of nutritional status and complications for exercise management

The current guidelines for physical activity and health in older adults (men and women aged ≥ 65 years and adults aged 50-64 years with clinically significant chronic conditions and/or functional limitations) recommend that moderate-intensity aerobic physical activity should be performed for a minimum of 30 min five days each week in addition to two sessions of resistance training and flexibility exercises each week[136]. The applicability of these recommendations depends on the severity of the chronic conditions and complications. With regard to LC, inappropriate exercise may cause undesirable outcomes due to the impaired energy metabolism and/or complications associated with LC, including ascites[137], hepatic encephalopathy[138], portal hypertension[139], and hepatopulmonary syndrome[140]. For example, in patients with LC, portal pressure and portal hypertension reportedly increased with moderate exercise (30% of the maximum), suggesting that such physical load poses a risk for variceal bleeding[139]. Moreover, exercise under insufficient nutrient intake can promote protein catabolism and thereby a loss of skeletal muscle mass in LC patients[141,142]. The assessment of nutritional status and complications is therefore mandatory before any exercise management of LC patients.

Exercise regimens for LC patients

The optimal exercise regimens for LC patients remain uncertain. However, there are some preliminary data with regard to efficacious exercise management for LC patients. Recently, based on a survey of compensated LC patients, researchers recommended the following exercise regimen: walking 5000 or more steps per day with a total caloric intake of approximately 30 kcal/ideal body weight[125]. The authors claimed that the regimen has the potential to maintain and increase skeletal muscle volume in LC patients. Most recently, a randomized pilot study with LC patients, in which most participants had Child-Pugh grade A LC, examined whether an exercise program combined with leucine supplementation (10 g/d) can improve patient outcome. The program included three sessions per week of a 1-h treadmill and cycle ergometry exercise at an intensity of 60%-70% of the maximum heart rate, over a period of 12 wk. The intervention group had improved exercise capacity, as shown by the 6-min walk test (from median 365 m to median 445 m) and the 2-min step test (from median 100 steps to median 150 steps), increased lower thigh circumference, and improved health-related quality of life; the control group had no significant changes[143]. During the study, no adverse events due to the implementation of the exercise program were observed. These studies suggest the possibility that moderate exercise combined with LC-specific nutritional support can increase skeletal muscle volume and improve the outcomes of LC patients. Other studies have indicated that aerobic exercise can be expected to improve insulin resistance in patients with chronic liver disease[144,145]. This favorable effect of exercise on insulin sensitivity is particularly important for obese patients[144,146]. Future intensive studies are required to establish efficacious and safe exercise regimens for LC patients.

CONCLUSION

Substantial data exist clearly demonstrating that PEM confers a risk of poor survival in LC patients. PEM in LC patients is highly associated with sarcopenia and a decrease in serum albumin levels. These conditions have also been reported to be predictors of poor patient survival. Nutrition and exercise management can improve PEM and sarcopenia in LC patients. Nutrition management includes sufficient dietary intake and an improvement of impaired nutrient metabolism. In contrast, the current rise in obesity prevalence has increased the number of obese LC patients. Restriction of excessive caloric intake without exacerbation of impaired nutrient metabolism is necessary for those patients. BCAAs are good candidates for supplemental nutrients for both obese and non-obese LC patients. Exercise management can increase skeletal muscle volume and strength and can improve insulin resistance; however, assessment of nutritional status and LC complications is mandatory before the implementation of an exercise program for LC patients. The establishment of optimal exercise regimens for LC patients is required. Figure 1 shows a tentative practical approach for managing LC patients with sarcopenia or sarcopenic obesity. The further development of methods for nutrition and exercise management will improve the overall health outcomes of LC patients.

WJG-20-7286-g001

Figure 1 A practical approach for managing liver cirrhosis patients with sarcopenia or sarcopenic obesity. LC: Liver cirrhosis; PEM: Protein-energy malnutrition; CT: Computed tomography; MRI: Magnetic resonance imaging; DXA: Dual energy X-ray absorptiometry; BCAA: Branched chain amino acid.

Footnotes

P- Reviewers: Maasoumy B, Ruiz-Margain A S- Editor: Qi Y L- Editor: A E- Editor: Zhang DN

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Source

September 6, 2013

Effects of lifestyle changes including specific dietary intervention and physical activity in the management of patients with chronic hepatitis C – a randomized trial

Research

Emilia Rusu123, Mariana Jinga24, Georgiana Enache1, Florin Rusu34, Andreea Diana Dragomir23, Ioan Ancuta25, Ramona Draguţ12*, Cristina Parpala1, Raluca Nan12, Irina Sima1, Simona Ateia2, Victor Stoica35, Dan Mircea Cheţa123 and Gabriela Radulian123

* Corresponding author: Ramona Draguţ dragut_ramona@yahoo.com

Author Affiliations

1“Prof. N. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases - Bucharest, Romania

2“Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania

3 Healthy Nutrition Foundation, Bucharest, Romania

4“Dr. Carol Davila” Clinical Central Military Emergency Hospital, Bucharest, Romania

5 Dr. I. Cantacuzino Clinical Hospital, Bucharest, Romania

For all author emails, please log on.

Nutrition Journal 2013, 12:119 doi:10.1186/1475-2891-12-119

The electronic version of this article is the complete one and can be found online at: http://www.nutritionj.com/content/12/1/119

Received: 29 January 2013, Accepted: 7 August 2013, Published: 14 August 2013

© 2013 Rusu et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

In patients with chronic hepatitis C (CHC), obesity is involved in the pathogenesis of insulin resistance, fatty liver disease and progression of fibrosis. The objective of this study was to compare a normoglucidic low-calorie diet (NGLCD) with a low-fat diet (LFD) among participants with CHC. Aimed to measure the impact of dietary changes in reduction of insulin resistance, obesity but also in steatosis and fibrosis.

Methods

Randomized, controlled trial in three medical centers with assessments at baseline, 6 months and 12 months. Participants were patients over 35 years with chronic hepatitis C (n = 120) with BMI over 25 kg/m2. We evaluated the effects of NGLCD vs. LFD in weight management and metabolic improvement. The primary endpoint was to measure the impact of dietary changes through nutritional intervention in reversibility of insulin resistance, obesity, steatosis, and fibrosis. We performed anthropometric measurements, fasting glucose profile, serum lipids, liver profile, blood count at baseline, 6 and 12 months. Steatosis was evaluated using ultrasonographic criteria. Liver fibrosis was non-invasively assessed.

Results

After 6 and 12 months of intervention, both groups had a significant decrease in caloric consumption. At 6 months, weight loss was greater in the NGLCD group (−5.02 ± 3.43 kg vs. −4.1 ± 2.6 kg; p = 0.002) compared to the LFD group. At 1-year, however, weight loss was similar in both groups (−3.9 ± 3.3 kg vs. −3.1 ± 2.6 kg; p = 0.139). At 12 months, fasting plasma glucose, fasting plasma insulin, and HOMA-IR had significant improvements in both groups. With both diets aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (GGT) decreased with significant differences; also there were significant improvements in AST/ALT ratio, Forns fibrosis index. The two diets were associated with reduction of both the prevalence and the severity of steatosis (all p < 0.001). At 12 months, total cholesterol, HDL-cholesterol, triglycerides improved in both groups (all p < 0.05).

Conclusions

The present study establishes the benefits of low-calorie diet and low-fat diet in management of patients with hepatitis C regarding improvement of insulin resistance, steatosis and also fibrosis.

Overweight or obese patients with CHC undergoing a lifestyle intervention (specific dietary intervention and physical activity) for 1-year had significant improvements in body weight, lipid and hepatic profile.

Trial registration PNCI2-3343/41008/2007

Keywords: Hepatitis C; Diet; Lifestyle change; HOMA-IR; Body mass index

Background

The prevalence of hepatitis C virus (HCV) infection worldwide is estimated at 3% [1]. World Health Organization estimates that the prevalence of HCV in Europe is 1% [1]. In Romania, statistics show that there are 1 million people (4.5% of the population) infected with HCV [2].

Chronic hepatitis C (CHC) can be considered a metabolic liver disease which implies: insulin resistance (IR), increased prevalence of impaired glucose tolerance or type 2 diabetes mellitus (T2DM), changes in lipid metabolism, and a high prevalence of steatosis [3].

As obesity is involved in the pathogenesis of hepatic steatosis and fibrosis progression, one of the important objectives of nutrition management is weight control.

Methods

Trial design

This multicenter, randomized controlled trial was conducted from September 2007 to December 2010.

Participants

Participants were recruited from three hospitals from Bucharest, Romania. The inclusion criteria were: age over 35 years, BMI over 25 kg/m2 diagnosis of chronic hepatitis C (CHC infection was defined by the presence of anti-HCV antibodies for a least 6 months and a positive HCV-viremia).

The exclusion criteria were: patients with other etiology of chronic liver disease, hepatitis B, autoimmune liver disease, hemochromatosis, HIV infection, patients with history of hepatotoxic or steatosis-inducing drug use, currently on interferon treatment or during the last 12 months, patients having an alcohol consumption of more than 20 g/day for women and 30 g/day for men, history of pancreatitis.

Study setting

The study was conducted in Bucharest, the most important commercial urban setting of Romania, with a population of 2 million and an estimated CHC rate of 3.35% in adults (data as of 2007).

Trial overview

The DIADIPOHEP (Adipocitokynes, link between virus C hepatitis and type 2 diabetes mellitus)) study was approved by the Romanian National Authority for Scientific Research. Written informed consent was obtained from all participants.

Enrollment began in September 2007 and ended in December 2010. Participants were recruited from three hospitals. Eligibility was established through a screening visit that included a physical examination and a review of the patient's medical history. Following completion of baseline assessments, participants were randomized to a normoglucidic low-calorie diet (NGLCD) group, or to a low-fat diet (LFD) group, both with a lifestlye management program.

Outcome measures

The primary endpoint was to measure the impact of dietary changes in reduction of insulin resistance as well as hepatic steatosis and fibrosis through nutritional intervention. Secondary endpoints included changes in weight, lipid profile (total cholesterol, LDL-cholesterol, HDL-cholesterol and triglycerides), blood pressure (systolic and diastolic), hepatic profile, and renal function (estimated glomerular filtration rate [eGFR]).

Assessments

We performed anthropometric measurements (weight, height, BMI (body mass index), waist circumference, waist to hip ratio (WHR)) every month.

Body mass index (BMI) was calculated as weight (in kilograms) divided by height (in meters squared). Based on the World Health Organization classification, overweight was defined as BMI between 25 and 29.9 kg/m2, and obesity was defined as BMI over 30 kg/m2[4]. We also measured waist circumference (in centimeters) at the mid-point of the distance between the 12th rib and iliac crest and hip circumference at the greater trochanters with the legs brought together.

Arterial blood pressure was measured three times at the end of the physical examination with the subject in the sitting position. Participants whose average blood pressure levels were greater or equal to 140/90 mmHg or receiving antihypertensive medication were classified as hypertensive subjects [5].

Laboratory assays

Fasting blood samples were drawn between 7:00 a.m. and 10:00 a.m.

The biochemical analyses, including fasting serum lipids (total cholesterol (TC), triglyceride (TG), high-density lipoprotein-cholesterol (HDL-C)), glucose profile (fasting plasma glucose (FPG), fasting plasma insulin (FPI), glycated hemoglobin (HbA1c)), liver function tests (aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase, bilirubin, albumin, total protein, International Normalized Ratio (INR)), were performed at baseline, 6 and 12 months with commercially available kits from Roche-Hitachi Systems which were analyzed on a Hitachi 917 autoanalyser. Low-density lipoprotein cholesterol (LDL-C) was calculated using the Friedwald formula (LDL-C = TC − TG/5 + HDL-C) [6].

Serum C-peptide was measured through an electrochemiluminescence immunoassay (Modular Analytics, Roche Diagnostics) with intra- and interassay coefficients of variation of 4.5% and 6.9%, respectively.

Insulin concentration was determined through RIA (Abbott Axsym System, Chicago IL), with intra- and interassay coefficients of variation of 4.5% and 6.9%, respectively.

FPI and C peptide were measured at baseline and 12 months. Insulin resistance (IR) was determined using Homeostasis model assessment (HOMA-IR)(fasting insulin level (mUI/l)x fasting glucose level (mg/dl)/405 [4]; a HOMA-IR index value of more than 2.0 was considered as the criteria of insulin resistance [7].

The oral glucose tolerance test (OGTT) was performed in patients with HbA1c higher than 5.5%. For OGTT, a glucose load equivalent to 75 g anhydrous glucose was given in a total water volume of 250 –300 ml [8]. The glucose drink was consumed over 5 min. Timing for the rest of the test started at the beginning of ingestion. A further blood sample was collected 2 h after the glucose load in order to measure the glucose concentration. Diabetes diagnostic was made according to ADA 2003 criteria [9].

The definition of the metabolic syndrome (MetS) was based on the IDF criteria (central obesity defined as waist circumference over 94 cm in men, over 80 cm in women or BMI over 30 kg/m2 plus any two of the following factors: 1. triglycerides (TG) ≥1.695 mmol/l (150 mg/dl) or treatment; 2. high density lipoprotein-cholesterol (HDL-C) lower than 40 mg/dl in men, 50 mg/dl in women or treatment; 3. blood pressure ≥130/85 mmHg or medication; 4. fasting blood glucose ≥ 5.6 mmol/l (100 mg/dl) or medication for diabetes [10].

Liver fibrosis was non-invasively assessed using the Forns fibrosis index (FI) [11]; a value < 4.2 excludes liver fibrosis and a value > 6.9 is a predictor for significant fibrosis. Forns fibrosis index was calculated according to formula: 7.811–3.131 ln[platelet count (109/l)] + 0.781 ln[gamma-glutamyl transpeptidase (GGT) (UI/l)] + 3.467 ln[age (years)] − 0.014[cholesterol (mg/dl)]. The presence of significant fibrosis was predicted with a 96% negative predictive value (NPV) and 66% positive predictive value (PPV) [11].

The AST to platelet ratio index (APRI) was calculated by dividing the AST level (UI/l), expressed as the number of times above the upper limit of normal (ULN), by the platelet count (109/l): AST (/ULN) × 100/platelet count (109/l) [12]. APRI is simpler to use than most of the other indices with similar performance to that of the Fibrotest (FT) and the Forns fibrosis index. This index has been validated in HCV patients [12]. An 86% NPV and an 88% PPV were reported to predict the presence of significant fibrosis and a 98% NPV and a 57% PPV were reported to predict the presence of cirrhosis [12].

Hepatic steatosis (HS) was evaluated using ultrasonographic criteria. Hepatic ultrasound is a sensitive procedure for detecting liver fat (sensitivity 91–100, specificity 93–100) [13]. The severity of echogenicity was graded as follows: grade 0, normal echogenicity; grade 1, slight, diffuse increase in fine echoes in liver parenchyma with normal visualization of diaphragm and intrahepatic vessel borders; grade 2, moderate, diffuse increase in fine echoes with slightly impaired visualization of intrahepatic vessels and diaphragm; grade 3, marked increase in fine echoes with poor or nonvisualization of the intrahepatic vessel borders, diaphragm, and posterior right lobe of the liver.

Estimated glomerular filtration rate (eGFR) was made according to CKD-EPI equation [14]. The CKD-EPI equation, expressed as a single equation, is: GFR = 141 X min(Scr/κ,1)α X max(Scr/κ,1)-1.209 X 0.993Age X 1.018 [if female] X 1.159 [if black].

Randomization

Independently done computer randomization was used to allocate numbers and divide the patients into two groups. Randomization was done by block design to ensure equal numbers in each group for every 4 subjects recruited.

Diet

All patients received nutrition counseling (NGLCD or LFD) in individual sessions every week in the first 6 months and every month thereafter until 12 months, with biological reevaluation at 6 and 12 months. All patients were required to submit a food journal at the baseline visit (before group allocation), as well as subsequent journals prior to the 6 month, 12 month, and each monthly visit. The food journal covers a 4 day period that includes 2 working days and 2 free days/weekend. Foods were measured using standard measuring cups and spoons and weight for 100 g; the input accuracy of the food journals was confirmed by using food-frequency questionnaires.

No supplements were allowed in this period. Patients who missed more than 30% of dietitian appointments or did not complete the food journals were considered noncompliant and were excluded from final analysis.

Macronutrient intake was calculated using the United States Department of Agriculture's food database (National Nutrient Database for Standard Reference, Release 16–1 and 17, Release dates July 2003 and 2004, Beltsville, MD) [15].

Subjects were required to limit alcohol intake to <20 g/week during the intervention period. Alcohol intake was averaged and recorded as grams per week.

Normoglucidic low-calorie diet

Dietitian doctors instructed participants to follow a diet comprising approximately 50-60% of daily caloric intake from carbohydrates [16], 25-35% of total calories from fat (less than 7% of total calories from saturated fat, less than 1% trans fatty acids, 10% monounsaturated fatty acids, 5-10% polyunsaturated fatty acids (PUFAs) and less than 300 mg cholesterol per day), proteins 15% of total calories (1.0 to 1.2 g/kg/day) [17], and <5% of caloric intake from simple sugars. Nutrient-rich choices that included whole grains, vegetables and fruit were prioritized. NGLCD was defined as a normoglucidic, normolipidic, normoproteic, low-calorie diet (100–500 kcal less than estimated energy needs).

Low-fat diet

Restriction of fat intake to 20% of total daily energy uptake with avoidance of trans-fat and saturated fat, up to 20% of the total calories from proteins and 60-65% carbohydrates. Further recommendation included increasing fibre uptake to 30 g per day, and avoiding liquid mono- and disaccharides. Moreover, patients were advised to consume at least 250 to 300 g of fruits, 125 to 150 g of vegetables, and 25 to 50 g of walnuts per day; in addition, they were also encouraged to consume 400 g of whole grains (rice, maize, and wheat) daily and to increase their consumption of olive oil. Compared with normoglucidic low-calorie diet, low-fat diet was defined by a low intake of fat (up to 20% of caloric intake), increased carbohydrate intake up to 60-65% of daily caloric intake, increased fiber intake (30 g/day), and protein intake up to 20%.

Physical activity

A healthy lifestyle includes regular physical activity (PA). Regular physical activity included 30 minutes of moderate intensity physical activities (e.g. brisk walking, jogging, cycling) for 3–7 days a week, recommended for persons with hepatitis C virus infection without advanced cirrhosis or other metabolic complications [18].

Energy needs

A high-energy diet is normally recommended for HCV-infected persons [19,20]. Measured energy needs of patients with HCV infection, even in the absence of cirrhosis, are on average higher per unit of lean body mass than the needs of healthy individuals [21]. The following provides two reasonable estimates of energy needs for patients undergoing physiological stress, such as those with infection: 25 to 40 kcal/kg, based on dry weight or an adjusted ideal weight [22] or add 20% to 40% to basal energy expenditure (BEE) using the Harris-Benedict equation [23].

In patients with overweight or obesity, the energy intake was individualized to be 100–500 kcal less than estimated energy needs because we designed it to induce at least a 5-10% weight loss at 6 months and to maintain this weight loss in the subsequent 6 months.

Statistics

Results for continuous normally distributed data were expressed as mean ± standard deviations (SD). Tests of normality used were Kolmogorov-Smirnov with a Lilliefors significance correction and Shapiro-Wilk statistic. The comparison of mean value at baseline, 6 months and 12 months was performed with paired t-test. For continuous nonnormal distribution we used Wilcoxon's rank-sum tests, and data were reported as median ± interquartile ranges. Pearson's χ2 tests were used to compare changes in continuous variables from beginning categorical baseline characteristics. Wilcoxon's rank-sum tests were also used to compare changes in continuous variables from baseline to the 12 month. P-value less than 0.05 was considered significant. All statistical analyses were performed using SPSS 19 (copyright IBM).

The primary analysis was intention-to-treat and involved all patients who were randomly assigned [24]. Two patients in the NGLCD group and eight patients in LFD groups were lost to follow up; thus data from 110 patients were available for the intention-to-treat analysis.

Results

The flow chart for study participants is presented in Figure 1[25]. The completion rate was 91.6%; 10 of the 120 subjects (8.3%) participating at baseline did not complete the 1-year intervention: 2/60 (3.3%) in the NGLCD group and 8/60 (8.3%) in the LFD group. The dropout rate in the LFD group was significantly greater than that in the NGLCD (p = 0.047). At baseline, in both groups, there were no statistically significant differences between patients who completed the study and those who dropped out.

1475-2891-12-119-1

Figure 1. Participant flow diagram.

The baseline characteristics of participants who completed the 1-year intervention are presented in Table 1; participants were similar in sex distribution, smoking, glycemic state, hypertension, dyslipidemia (Table 1). There were no significant differences between the groups (data not shown) for demographic characteristics, marital status, environment, occupation. In both groups, compared with women, men had a higher mean baseline BMI (mean difference 1.96 kg/m2 [95% CI 0.13, 3.79]) in NGLCD group and 2.1 kg/m2 [95% CI 0.33, 4.06]) in LFD group. All patients were affected by genotype 1.

Table 1. (click to view) Demografic and clinical characteristics at baseline

The average age was 54.3 ± 8.6 years in NGLCD group and 54.2 ± 9.3 years in LFD group (p = 0.51).

Overweight was present at baseline in 60.3% (n = 35) patients in NGLCD group and in 55.8% (n = 29) patients in LFD group; the other patients had obesity (p = 0.53 between groups). Overweight was present at 12-months in 55.2% (n = 32) patients in NGLCD group and in 57.7% (n = 30) patients in LFD group; obesity was present in 20.7% (n = 12) patients in NGLCD group and in 23.1% (n = 12) patients in LFD group.

The prevalence of MetS at baseline was similar between groups (61.5% in NGLCD (n = 36) vs. 61.5% in LFD (n = 32), p = 0.55) but higher in men from LFD group than in women from the same group (85.7% (n = 18) vs. 45.2% (n = 14), p = 0.003).

Kilocalories and macronutrients

At baseline, analysis of the 4-day food journal showed that calorie intake of the two groups was not significantly different (2247 ± 160 Kcal/day vs. 2213 ± 157 Kcal/day in the NGLCD and LFD, p = 0.261). The results were similar for the baseline protein (16.2 ± 1.6% vs. 16.3 ± 1.6%, p = 0.506), lipid (33.9 ± 3.52% vs. 33.2 ± 3.51%, p = 0.1) and carbohydrate intake (49.8 ± 3.4% vs. 50.2 ± 3.3%, p = 0.8) in the NGLCD and LFD group, respectively.

Significant reduction in carbohydrate, protein and lipid intake was observed in the NGLCD group both at 6 months and 12 months (all p < 0.001) (Table 2). In LFD group we observed a significant reduction of calories and lipid intake and an increase of protein and carbohydrates intake during the intervention period (all p < 0.001 at 12 months) (Table 2).

Table 2. (click to view) Kilocalories and macronutrients, comparison at baseline and after 6 and 12 months

After 6 and 12 months of intervention, both groups had a significant decrease in caloric consumption (Table 2), without differences between groups (p = 0.839 at 6 months, and p = 0.96 at 12 months); at 12 months, fat consumption in LFD patients was significantly lower (43.3 ± 7.04 g/day vs. 61.4 ± 8.1 g/day).

Weight loss

At 6 months, weight loss was greater in the NGLCD group (−5.02 [95% CI −5.9, -4.1]kg vs. −4.1 [95% CI −4.8, -3.3]kg; p = 0.002) compared to the LFD group. At 1-year, however, weight loss was similar in both groups (−3.9 [95% CI −4.8, -3.1]kg vs. −3.1 [95% CI −3.8, -2.3]kg; p = 0.139). Most of the weight loss occurred in the first 6 months. After 12 months, patients slowly regained weight after no longer being under observation on a regular basis. We also found no significant sex differences for changes in weight. A total of 18 patients in LFD group (34.6%) and 21 patients in NGLCD group (36.2%) continued to lose weight from 6 months to 1 year. At 1 year, 29.3% (n = 17) patients in NGLCD group and 30.8% (n = 16) patients in LFD group had lost between 5-10% of their initial body weight; 10.3% (n = 6) patients in NGLCD group and 1.9% (n = 1) patients in LFD group lost over 10% of their initial weight (p = 0.33).

There were no significant differences between the groups in body weight changes, BMI, waist circumferences at 12 months (Table 3).

Table 3. (click to view) Metabolic syndrome parameters

Physical activity

Before the start of the study all patients were sedentary, not involved in any form of regular exercise (in NGLCD, PA was 28.7 ± 18.7 min/week, in LFD, PA was 29.5 ± 19.3 min/week).

The degree of PA increased in the first 6 months in both groups statistically significant; even if in the next 6 months PA decreased, the difference between baseline and 12-months remained significant in both groups (for NGLCD the difference was 56.5 min/week [95% CI, 46.4, 66.6] and 39 min/week [95% CI 28.7, 49.3] for LFD.

Comparing the two groups, significant differences were found only at the 12-months visit, when patients in the NGLCD group continued to be more active (16.7 min/week [95% CI 1.8, 31.5]).

Effect of diet programs on insulin resistance

In NGLCD group, after the 12-month intervention we have seen reductions of 5.5% (95% CI 3.4, 7.6) in FPG and of 27.4% (95% CI 20.3, 34.5) in FPI; in LFD group we also observed a reduction of 5.2% (CI95% 2.9, 7.4) for FPG and of 21.6% (95% CI 15.3, 28) for FPI, respectively. Pairwise analyses test showed significant differences in changes of FPG and FPI for the two groups (Table 4).

Table 4. (click to view) Glucose metabolism parameters

Insulin resistance determined through HOMA-IR improved by 31.5% (95% CI 24.6, 38.5) in the NGLCD group; HOMA-IR improved also in the LFD group (25.7% (CI95% 19.3, 32.1) (p = 0.219 between groups).

There were no significant differences in the 12-month percentage changes in FPG, FPI, C peptide, homeostasis model assessment for insulin resistance and homeostasis model assessment for β-cell function, between groups. After adjustment for body weight lost, HOMA-IR showed an improvement with both diets (p = 0.026, respectively p = 0.03).

Effects of diet programs on hepatic profile

The liver function tests at baseline and after 12 months for NGLCD and LFD groups are presented in Table 5.

Table 5. (click to view) Parameters for hepatic function

With both diets AST, ALT, GGT decreased with significant differences; also AST/ALT ratio, APRI score and Forns index had significant improvements. Albumin and bilirubin levels were not significantly changed (Table 5).

In order to assess the effects of weight loss on liver function parameters patients were stratified according to degree of weight loss (weight gain, 1-5% weight loss, 5-10% weight loss, and more than 10% weight loss). Both diets proved to be efficacious in the improvement of liver function parameters.

In NGLCD patients group

In patients with less than 5% loss of baseline weight (n = 30) (−2.1 kg [95% CI −2.5, -1.75]) there was an improvement of ALT levels (−15.1 [95% CI −22.8, - 7.5]), GGT levels (−6.4 [95% CI [−10.9, -1.9]), AST/ALT ratio (−0.07 [95% CI, -0.002, -0.14]) and Forns index (−0.17 [(95% CI, -0.005, -0.28]) (Table 6).

Table 6. (click to view) Groups of weight loss and liver function parameters in patients with NGLCD

In patients who lost between 5-10% of baseline weight (n =17, 29.3%) there was an improved GGT, alkaline phosphatase, Forns index, and APRI (Table 6).

In patients from NGLCD group who have lost more than 10% of the body weight (n = 6) there was a significant improvement of non-invasive index of liver fibrosis (Forns index) (Table 6).

In LFD patients group

In patients with weight gain (n = 4, 7.7%) we observed a slight improvement of Forns index, probably obtained in the context of reduced fat consumption (Table 7).

Table 7. (click to view) Groups of weight loss and liver function parameters in patients with LFD

In those with less than 5% loss of baseline weight (n = 31, 59.6%) we found improvements in AST, ALT, total bilirubin, INR, Forns index, APRI (Table 7).

In patients with 5-10% loss of baseline weight (n = 16, 30.8%) we found significant improvements in GGT and Forns index, with an improvement in the remaining parameters, but it was not statistically significant (Table 7).

Steatosis

Fatty liver disease is common in patients with CHC. In our study 52.7% patients (n = 58) presented hepatic steatosis, 60.3% (n = 35) patients in NGLCD group and 46.2% (n = 24) patients in LFD group (p = 0.097).

The two diets were associated with reduction of both prevalence and severity of steatosis (all p < 0.001) without significant differences between groups; in NGLCD group - mild: 68.6% vs. 77.4%, moderate: 25.7% vs. 22.6%, severe: 5.7% vs. 0%; in LFD group - mild: 58.3% vs. 76.2%, moderate: 29.2% vs. 23.8%, severe: 12.5% vs. 0%.

This reduction in prevalence and severity of liver steatosis resulted in a significant diminution of serum triglycerides in NGLCD and of serum ALT levels in LFD group (p = 0.045, respectively p = 0.03). Such regression of steatosis occurred even in absence of weight normalization.

Effects of diet programs on metabolic syndrome parameters and fasting lipid profiles

At baseline, metabolic syndrome (≥3 criteria) was present in 62.1% (n = 36) patients in NGLCD and in 61.5% (n = 32) patients in LFD (p = 0.55). At 12 months, all parameters associated with the metabolic syndrome improved in both groups (all p < 0.005). At 12-months only 25.9% (n = 15) form patients receiving NGLCD and 26.9% (n = 14) form patients receiving LFD showed MetS; we did not find differences between groups at baseline and 12 months (Table 3).

Effects of diet programs on renal profile

There were no differences between the two diets regarding the changes in renal function (eGFR, creatinin, urea). In both groups, there were no associations between the changes in protein intake (g/day) and the change in eGFR (r = 0.04, p = 0.29) or creatinin (r = 0.07, p = 0.34).

Discussion

This RCT demonstrated the benefits of both normoglucidic low-calorie and low-fat diets in individuals with CHC. Our results indicated that after 1 year, overweight and obese patients with CHC had similar weight reduction with both diets. The dropout rate in LFD was significantly greater than that in NGLCD. Similar to prior studies, we observed a faster weight loss after initiation of a NGLCD and equivalent weight loss after 1 year [26].

This study demonstrated that lifestyle changes (NGLCD or LFD and physical activity) improved the anthropometric parameters, glucose parameters and lipid and liver profiles. Further improvement was noted in the results of non-invasive liver fibrosis testing, as well as improvement of the prevalence and severity of hepatic steatosis.

The prevalence of MetS in our study was higher than previously published in Romania [27] and in Europe, most likely because we included overweight patients (BMI over 25 kg/m2). At baseline 61.5% of patients belonging to the NGLCD group and 61.5% to the LFD group presented MetS. In the largest retrospective survey (239 HCV-positive subjects) 16.7% had metabolic syndrome [28]. In other studies [29,30], the prevalence of metabolic syndrome in chronic HCV-infected patients ranged from 4.1 to 44% [31].

Even the weight loss at 12 months wasn’t spectacular (−3.9 [95% CI −4.8, -3.1]kg in NGLCD vs. −3.1 [95% CI −3.8, -2.3]kg in LFD) there was a reduction in MetS prevalence (25.9% in NGLCD group and 26.9% in LFD group). In CHC patients lifestyle changes through medical nutritional therapy and physical activity led to an improvement in all metabolic parameters: reduced insulin resistance, lower blood glucose, lower triglycerides, total serum cholesterol, LDL-C, increased HDL-C, reducing systolic and diastolic blood pressure.

Modest weight loss of 5–10% body weight is known to reduce insulin resistance in obese individuals [32].

In our study a normoglucidic low-calorie diet (with limited refined carbohydrates and sugar intake, and increased fruits, vegetables and whole grains intake) was accompanied by improvement in insulin resistance (HOMA-IR) lipid and liver profile.

The metabolic changes induced by the low-fat, high carbohydrate, high protein diet were associated with similar weight losses, improved lipid and glucose profiles, however there were no adverse changes in renal function parameters but the compliance to this diet was lower (drop out rate was almost double).

Thus, even if macronutrient intake was different, there were similar improvements in glycemia and insulin resistance, indicating that in the context of tolerable diets and weight loss, mild variations in nutrient fuels have limited impact on glucose metabolism.

In overweight/obese patients with steatosis who subsequently lost weight, liver-related abnormalities improved [33]. Although weight loss may be difficult to achieve and sustain, the patients who did manage to lose weight showed a reduction in steatosis and abnormal liver enzymes as well as improvement in liver fibrosis, despite the persistence of the virus [34]. Lifestyle changes are deemed to be additive to proper antiviral treatment schedules, which remain the standard of care [31].

The effects of lifestyle changes on hepatic inflammation and fibrosis varied [35,36], only one study showed significant improvement [36].

In patients with steatosis, lifestyle changes (diet and exercise) were associated with improvement of ALT levels [35] and steatosis [35,36].

Recently a semiquantitative index used to assess steatosis was validated against histology [37] and proved useful in the specific setting of lifestyle interventions [38].

Limitations of the study are: we used non-invasive methods to estimate steatosis and fibrosis in patients with CHC, and these indices are less sensitive and specific in these patients; the analysis and presentation of only detailed food journals may bias the estimate of food intake; recruited patients were overweight (BMI > 25 kg/m2) thus the prevalence of MetS was higher.

At this point only lifestyle interventions can be recommended to improve metabolic syndrome and obesity associated with chronic hepatitis C, but their effect on treatment response and long term outcome requires further study.

Moderate exercise is recommended for all persons with hepatitis C who did not experience advanced cirrhosis or other metabolic complications [17,39,40]. In the present study, changes in food intake and the increase of physical activity were sustainable, associated with long-term metabolic benefits. In some studies, patients with CHC who participated in light or moderate exercise programs reported an improvement in some symptoms such as nausea, fatigue, depression and appetite [17,35,36].

An important issue related to long-term of dietary interventions is that adherence decreases over time and therefore achieving the treatment goals involves an individualized education program, structured and continuously adapted to the socio-biological and family environment, with patient’s involvement in his own treatment.

Long-term benefits can be confirmed only by large studies over a longer period of time, where the patient has adopted the habit of an optimal lifestyle.

Conclusions

The present study establishes the benefits of the low-calorie diet and low-fat diet in management of patients with hepatitis C regarding improvement of insulin resistance, steatosis and also liver fibrosis.

Overweight or obese patients with hepatitis C undergoing a lifestyle intervention (specific dietary intervention and physical activity) for 1-year had significant improvements in body weight, lipid and hepatic profiles.

Abbreviations

ALT: Alanine aminotransferase; APRI: AST to platelet ratio index; AST: Aspartate aminotransferase; BMI: Body mass index; DBP: Diastolic blood pressure; FI: Forns fibrosis index; FPG: Fasting plasma glucose; FPI: Fasting plasma insulin; GGT: Gamma-glutamyl transpeptidase; HbA1c: Glycosylated hemoglobin; HDL: High density lipoproteins; HOMA-IR: Homeostasis model assessment of insulin resistance; IFG: Impaired fasting glucose; IGT: Impaired glucose tolerance; LFD: Low-fat diet; MetS: Metabolic syndrome; NGLCD: Normoglucidic low-calorie diet; SBP: Systolic blood pressure; WC: Waist circumference; NGLCD: Normoglucidic low-calorie diet.

Competing interest

The authors declare that they have no competing interest.

Authors’ contributions

Conception and design: ER; Providing study materials and inclusion of patients: ER, GR, FR, GE, ADD, MJ, IA, RD, CP, RN, IS, SA, VS, DMC, GR; Data collection and assembly: GE, FR, ER, ADD; Data analysis and interpretation: ER, DMC, MJ, GR; Manuscript elaboration: ER; Final approval of the manuscript: ER, MJ, GE, FR, ADD, IA, NC, PA, RN, IS, SA, VS, DMC, GR. All authors read and approved in the final manuscript.

Acknowledgments

This study was supported by the Romanian National Authority for Scientific Research as a part of the PNCDI 2 program DIADIPOHEP 41-008/2007.

PNCI2-3343/41008/2007

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors wish to thank Dr. Lawrence C. Nwabudike for improving the style and the language of the manuscript.

References

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