Arq Gastroenterol
ag
Arquivos de Gastroenterologia
Arq. Gastroenterol.
0004-2803
1678-4219
Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia - IBEPEGE ou Colégio Brasileiro de Cirurgia Digestiva - CBCD ou Sociedade Brasileira de Motilidade Digestiva e Neurogastroenterologia - SBMDN ou Federação Brasileira de Gastroenterologia - FBG ou Sociedade Brasileira de Hepatologia - SBH ou Sociedade Brasileira de Endoscopia Digestiva - SOBED
RESUMO
CONTEXTO:
A desnutrição calórico-proteica é frequente na doença hepática crônica (DHC), no entanto, ferramentas clínicas adequadas para avaliação nutricional destes doentes não estão definidas.
OBJETIVO:
Em doentes com DHC, pretendeu-se: 1. Caracterizar a desnutrição calórico-proteica; 2. Comparar diferentes ferramentas clínicas, antropométricas e funcionais de avaliação nutricional; 3. Estudar a associação desnutrição/gravidade da DHC e desnutrição/prognóstico.
MÉTODOS:
Estudo observacional e prospetivo. Foram recrutados doentes ambulatórios/hospitalizados de 01-03-2012 a 31-08-2012 e estudados tendo em conta a idade, gênero, etiologia, consumo alcoólico e gravidade da DHC definida pelo score Child-Turcotte-Pugh. A avaliação nutricional incluiu a utilização da avaliação global subjetiva, antropometria nomeadamente índice de massa corporal (IMC), perímetro braquial, circunferência muscular do braço, prega cutânea tricipital e dinamometria. Os doentes foram seguidos durante 2 anos e foi registada a respectiva sobrevida.
RESULTADOS:
Foram incluídos 130 doentes com DHC (80 homens) com idade 22-89 anos (média 60 anos). A maioria apresentava cirrose alcoólica (45%). Os doentes hospitalizados apresentaram doença hepática mais severa ( P <0,001) e pior estado nutricional, definido pelo IMC ( P =0,002), perímetro braquial ( P <0,001), circunferência muscular do braço ( P <0,001), prega cutânea tricipital ( P =0,07) e avaliação global subjetiva ( P <0,001). Um terço apresentava força de preensão manual deficiente/baixa. O consumo alcoólico ( P =0,03) e a desnutrição detetada pelo IMC ( P =0,03), perímetro braquial ( P =0,001), prega cutânea tricipital ( P =0,06), circunferência muscular do braço ( P =0,02) e avaliação global subjetiva ( P <0,001) encontraram-se associados à gravidade da DHC. Dos 25 doentes que faleceram durante o seguimento, 17 apresentavam desnutrição severa definida pela prega cutânea tricipital. A desnutrição definida pela prega cutânea tricipital revelou ser um fator preditivo de mortalidade ( P <0,001).
CONCLUSÃO:
A desnutrição calórico-proteica é comum na DHC para a qual o álcool desempenha um papel importante. A prega cutânea tricipital é o parâmetro antropométrico mais eficiente e encontra-se associado à mortalidade. A avaliação nutricional deve ser considerada mandatória na abordagem rotineira de doentes com DHC.
INTRODUCTION
Liver has essential physiological functions in food digestion, absorption of nutrients and metabolism, playing a central role in the maintenance of a healthy nutritional status. Patients with chronic liver disease (CLD) suffer from a significant impairment of these functions, which may result in protein-calorie malnutrition (PCM) 27 .
PCM is a transversal condition in all stages of liver cirrhosis. Hospitalised CLD patients are particularly at risk, with malnutrition being present in 65%-90% at admission 14 . PCM is considered an independent predictor of mortality and is associated with an increased number of complications such as variceal bleeding, hepatic encephalopathy, spontaneous bacterial peritonitis, hepatorenal syndrome and an impaired liver regeneration capacity. Furthermore, CLD patients are more susceptible to fat-soluble vitamin and trace element deficiency, which also may lead to an impaired outcome 4,13,23 .
Several factors contribute to malnutrition in patients with liver cirrhosis. A reduction in food intake is caused by anorexia, nausea, dysgeusia, early satiety (mainly when splenomegaly is present), heavy alcohol consumption, encephalopathy and the prescription of severely restrictive diets with low sodium content 4,8,13,19,23 . Impaired digestion and absorption occurs due to biliary salt deficiency, bacterial overgrowth and also portal hypertension that promote changes in the intestinal mucosa. High metabolic demands with an increase in rest energy expenditure are common in those patients, leading to increased malnutrition if an adequate calorie supply is not provided 4,8,13,19,23,27 .
Nutritional assessment in CLD patients can be challenging. Subjective Global Assessment (SGA) is a practical tool that combines data from clinical history and physical examination (weight loss, changes in dietary intake, gastrointestinal symptoms, functional capacity, metabolic demands, signs of muscle wasting and the presence of peripheral oedema) 7 . SGA is validated in cirrhotic patients, has been shown to predict prognosis and is highly reproducible 12,13,23 . Classic anthropometric parameters such as weight and Body Mass Index (BMI) are often overestimated by ascites and tissue oedema. Skinfold thickness (bicep, triceps or subscapular) and mid upper arm circumference (MUAC) are less influenced by patient fluid status and despite the possibility of inter-observer variability, these measures are considered to be more sensitive than BMI to detect malnutrition in CLD patients 13,20,26 . Laboratory parameters such as albumin and other serum proteins are unreliable as true nutritional status markers and its low serum concentration is associated with severity of liver disease and degree of inflammation 13,23 . Handgrip strength (dynamometry) is a very sensitive method to detect the functional impairment that reflects PCM and seems to be a good predictor of CLD complications 1,2,6 . Indirect calorimetry and bioimpedance are more sophisticated tools but they are not available in most centres 8,11,13,22 .
Given the high prevalence of malnutrition in liver cirrhosis, the assessment of nutritional status should always be performed in those patients. According with the guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN), use of simple bedside tools such as SGA, anthropometry or handgrip strength to identify patients at risk of undernutrition is considered adequate and should be the first approach to further select patients who may need nutrition therapy if nutritional requirements are not satisfied 16 .
Currently, there is no consensus about the best method for quantification and classification of malnutrition 13,19 .
The present study aims to characterize the nutritional status of CLD patients followed at Hospital Garcia de Orta Gastroenterology Department.
The primary aims are
1) To perform a nutritional assessment of CLD patients using anthropometry and SGA, and to compare the accuracy of each tool to identify PCM in CLD patients.
2) To study the relationship between nutritional status and outcome of CLD patients.
The secondary aims include
3) To compare the nutritional status of inpatients admitted to the gastroenterology ward with those who are followed at gastroenterology outpatient clinic.
4) To evaluate if alcohol consumption is a major contribution for PCM in CLD patients.
5) To study the relationship between PCM and severity of liver disease using Child-Turcotte-Pugh score 5 .
METHODS
Study design
A single centre, observational, longitudinal and prospective study was performed in a large hospital setting. This project was approved by Hospital Garcia de Orta Ethical Committee.
Patients
Consecutive ambulatory and hospitalized CLD patients were included and evaluated by Artificial Feeding Team (GENE) of the Gastroenterology Department of Hospital Garcia de Orta from 1st March 2012 to 31th August 2012 and underwent nutritional assessment using clinical, anthropometric and functional tools. The diagnosis of CLD was previously made by conjugation of clinical (ascites or hepatic encephalopathy), laboratory (low albumin, prolonged coagulation times or other abnormal laboratory tests) and morphologic (enlarged and heterogeneous liver with irregular contours or evidence of portal hypertension in ultrasonography and CT/MRI scan) features. Liver biopsy was performed only when needed to study the etiology of liver disease if clinical and laboratorial data were inconclusive.
Exclusion criteria included medication with corticosteroids, which has an important impact in body composition, VIH infection as these patients are most followed by infectiology team, the presence of specific endocrinopathies like Graves’ disease and Cushing syndrome and lack of compliance with follow-up medical consultations and therapies.
Anthropometric evaluation
Anthropometric evaluation was performed at the time of referral, according with the ISAK manual of International Society for the Advancement of Kinanthropometry 25 . The average of three consecutive measurements was then recorded on the patients’ file.
Body Mass Index (BMI) was obtained using the equation weight/height 2 . Each patient was classified according to age as having low weight if BMI <18.5 kg/m 2 for patients under 65 years or BMI <22 kg/m 2 for patients 65 years old or older.
Mid Upper Arm Circumference (MUAC) was measured in centimeters, using a flexible measuring tape wrapped around the mid upper arm, halfway between the olecranon and the acromion process.
Triceps Skinfold (TSF) was measured in millimeters, using a skinfold caliper on the mid-line of the posterior surface of the arm, halfway between the olecranon and the acromion process.
Mid Arm Muscular Circumference (MAMC) was estimated through MUAC and TSF according with the formula:MAMC (cm) = MUAC (cm) - [TSF (mm) x 0.314].
The anthropometric values of each patient were compared with the NHANES (National Health and Nutrition Examination Survey) reference values on Frisancho tables, and the nutritional status was classified according with the criteria described by Blackburn & Thornton 10,15 . Patient nutritional status was classified as being eutrophic, overweight, and obese or having mild, moderate and severe malnutrition according with MUAC, TSF and MAMC.
Dynamometry
In order to determine the handgrip strength a hydraulic dynamometer Jamar ® previously adjusted to the patient hand size was used. The results were presented in kilogram force. The measurement was performed with the patient sitting down, the elbow flexed at 90º and the arm along the body. Alternatively, the patient could also be lying in the bed with the elbow supported and the head at 30º. Three measurements were performed using the non-dominant hand, always encouraging the patient to exert his greatest strength. The best value obtained was recorded. The results were further categorized in percentiles according with gender, age and height 24 . Patient functional status was classified using the classification described in Table 1 .
TABLE 1
Classification of patient functional status according with dynamometry results (24
)
Handgrip strength
Patient characteristics - count (%)
Reduced
Adequate
High
Deficient
Low
Moderate
Very high
<5
[5-25]
[25-75]
[75-95]
≥95
Subjective global assessment
Nutritional assessment was also performed using Subjective Global Assessment (SGA) taking into account recent changes in weight, dietary intake, gastrointestinal symptoms, changes in functional capacity, perception of subcutaneous fat and muscle wasting, edema and ascites 7). Patients were classified as being well nourished (A), moderately malnourished (B) or severely malnourished (C).
Severity of liver disease
The severity of liver disease was defined using Child-Turcotte-Pugh (CTP) system based in clinical (ascites, encephalopathy) and laboratorial parameters (albumin, bilirubin, international normalized ratio - INR) assessed simultaneously with the anthropometric evaluation 5 .
Alcohol consumption
Alcohol consumption was defined by ingestion of more than 20 and 40 g of alcohol per day in women and men, respectively. Quantification of the amount of alcohol ingested was performed through anamnesis considering that one standard drink corresponds to approximately 10 g of pure alcohol. The present study, did not discriminate patients who maintained active alcohol ingestion from patients who were supposed to be in abstinence. Actually, CLD patients often hide surreptitious alcohol ingestion from caregivers and health professionals. It was opted to standardize this parameter since there were no robust methods available to ascertain if patients who deny active alcohol consumption are really compliant with complete abstinence.
Clinical outcome
After the initial evaluation, patients maintained follow-up at gastroenterology outpatient clinic and survival data were recorded at three, six, twelve and twenty-four months periods. According to the clinical outcome, patients were divided into three categories: alive and maintaining follow-up at gastroenterology outpatient clinic, deceased and lost for follow-up. All the patients lost for follow-up were excluded from the study.
Statistical analysis
The statistical analysis was performed using the Statistical Package for Social Sciences (SPSS ® Inc., Chicago, IL), version 21, and Microsoft Office Excel Professional 2013 ® .
The variables analyzed in every patient were age, gender, etiology of CLD, alcohol consumption, patient provenience (ambulatory or hospitalized), CTP staging of CLD, SGA staging of nutritional status, anthropometry, handgrip strength and outcome. The anthropometric variables considered were BMI, MUAC, TSF and MAMC. Total survival in months as well as mortality rate at 3 months, 6 months, 1 year and 2 years were calculated in all patients.
After a descriptive analysis of all the variables, the Chi-Square test was applied (or alternatively the Exact Fisher Test variation when individuals in each category were less than five) to ascertain the association between patient provenience, alcohol consumption, CLD severity, anthropometric parameters, SGA, handgrip strength and mortality. Data were also studied through a multivariable analysis using a binary logistic regression to identify factors associated with mortality. Inferential tests were performed at the 5% level of statistical significance.
RESULTS
Patients
One hundred and thirty-six CLD patients were eligible and underwent nutritional assessment by the Artificial Feeding Team, of whom six patients were lost to follow-up, 25 have died and 105 remained alive and followed in gastroenterology outpatient clinic. Patients lost to follow-up were excluded from the study.
One hundred and thirty CLD patients were studied were included (80 men and 50 women) ranging from 22 to 89 years old (mean: 60 years). Alcohol consumption was present in 74 (57%) patients, being considered the single etiology of CLD in 59 (45%) patients. Forty-one (32%) patients suffered from chronic viral hepatitis (13 patients with hepatitis B and 28 patients with hepatitis C). Autoimmune and metabolic causes represented a small portion of patients and 12 (9%) patients presented cryptogenic cirrhosis. Patient distribution according to the etiology of CLD was represented in Figure 1 .
FIGURE 1
Patient distribution according with the etiology of CLD. HCV: Hepatitis C virus; HBV: hepatitis B virus; AIH: autoimmune hepatitis; NASH: non-alcoholic steato-hepatitis; PBC: primary biliary cirrhosis; PSC: primary sclerosing cholangitis.
Eighty-nine patients (68.5%) were initially assessed in the gastroenterology outpatient clinic and 41 (31.5%) patients were hospitalized in the gastroenterology ward due to acute decompensation of liver disease.
Regarding the severity of liver disease, 75 (57%) patients were CTP-A, 31 (24%) patients were CTP-B and 24 (19%) patients were CTP-C. There was a significant association between severity of liver disease and patient provenience, CTP-A patients prevalence being higher in ambulatory and CTP-B/CTP-C being predominant in hospitalized patients (X 2 =47.9, P <0.001) - Figure 2 .
Demographic data of the sample is represented in Table 2 .
FIGURE 2
Patient distribution according with nutritional parameters, SGA, severity of CLD and provenience. BMI: body mass index; MUAC: mid upper arm circumference; TSF: triceps skinfold; MAMC: mid arm muscular circumference; SGA: subjective global assessment; CTP: Child-Turcotte-Pugh.
TABLE 2
Demographic characteristics of the included patients
Patient characteristics - count (%)
Age
M = 60 years ± 12.2
Gender
male: 80 (61.5)
female: 50 (15.5)
Provenience
Outpatient: 89 (68)
Ward inpatient: 41 (32)
Alcohol consumption
74 (57)
Child-Turcotte-Pugh
A: 75 (57)
B: 31 (24)
C: 24 (19)
Subjective global assessment
A: 77 (59)
B: 40 (31)
C: 13 (10)
Body Mass Index
Low: 10 (8)
Not low: 120 (92)
Mid upper arm circumference
Severe malnutrition: 13 (10)
Moderate malnutrition: 13 (10)
Mild malnutrition: 30 (23)
Eutrophic: 61 (47)
Overweight: 3 (2)
Obesity: 10 (8)
Triceps skinfold
Severe malnutrition: 65 (50)
Moderate malnutrition: 16 (12)
Mild malnutrition: 13 (10)
Eutrophic: 13 (10)
Overweight: 2 (2)
Obesity: 21 (16)
Mid arm muscular
Severe malnutrition: 8 (6)
circumference
Moderate malnutrition: 8 (6)
Mild malnutrition: 30 (23)
Eutrophic: 84 (65)
Handgrip strength
Deficient: 16 (12)
Low: 27 (21)
Adequate: 24 (19)
Moderate: 8 (6)
High: 2 (1)
Mortality 3 months
8 (6)
Mortality 6 months
8 (6)
Mortality 1 year
15 (11.5)
Mortality 2 years
25 (19)
Anthropometric evaluation
All patients included in the study were submitted to a full anthropometric evaluation using BMI, MUAC, TSF and MAMC.
Ten (8%) patients present low BMI being considered malnourished and 120 (92%) patients displayed normal or high BMI.
Using MUAC, 56 (43%) patients were considered malnourished, 61 (47%) patients were eutrophic, 3 (2%) patients displayed overweight and 10 (8%) patients present obesity.
Regarding TSF, 94 (72%) patients were considered malnourished, 13 (10%) patients were eutrophic, 2 (2%) patients displayed overweight and 21 (16%) patients present obesity.
Measuring MAMC, 46 (35%) patients were considered malnourished and 84 (65%) patients were eutrophic. No patient displayed MAMC exceeding the normal range.
Comparing patients in whom nutritional status was assessed in ambulatory, with hospitalized patients evaluated in an acute decompensation setting it was verified that patients with low BMI were more frequent in the ward (X 2 =11.7, P =0.002). Furthermore, moderate and severe malnutrition defined by MUAC (X 2 =43, P <0.001) and MAMC (X 2 =27.5, P <0.001) were also more prevalent in hospitalized patients. Data regarding TSF showed that the proportion of patients presenting with severe malnutrition tend to be higher in hospitalized patients (X 2 =9.6, P =0.07) - Figure 2 .
Subjective Global Assessment (SGA)
Nutritional assessment performed using SGA showed 77 (59%) patients being considered well nourished (A), 40 (31%) patients being moderately malnourished (B) and 13 (10%) patients being severely malnourished. There were a significant association between severity of malnutrition defined by SGA and patient provenience, SGA-A patients being higher in ambulatory and SGA-B/SGA-C being predominant in hospitalized patients (X 2 =35.4, P <0.001) - Figure 2 .
Dynamometry
Functional status definition using handgrip strength by dynamometry was evaluated in 77 patients (59%) of the sample. Sixteen (12%) patients were classified as deficient, 27 (21%) patients as low, 24 (19%) patients as adequate, 8 (6%) patients as moderate and 2 (2%) patient as high handgrip strength - Table 2 . There were no significant association between functional status and patient provenience (X 2 =3.5, P =0.45).
Impact of alcohol consumption in PCM -
Table 3
TABLE 3
Association between alcohol consumption/severity of malnutrition in CLD patients and severity of CLD/PCM defined by anthropometry, subjective global assessment and dynamometry
Chi-square
Significance
Alcohol-BMI
0.76
0.51
Alcohol-MUAC
4.2
0.52
Alcohol-TSF
2.2
0.86
Alcohol-MAMC
3.3
0.38
Alcohol-dynamometry
7.7
0.09
Alcohol-SGA
3.9
0.15
Alcohol-CTP
6.81
0.03
CTP-BMI
6.81
0.03
CTP-MUAC
25.9
0.001
CTP-TSF
15.9
0.06
CTP-MAMC
14.1
0.02
CTP-dinamometry
11.2
0.15
CTP-SGA
23.8
0.001
BMI: body mass index; MUAC: mid upper arm circumference; TSF: triceps skinfold; MAMC: mid arm muscular circumference; SGA: subjective global assessment; CTP: Child-Turcotte-Pugh.
It was also compared present/past significant alcohol consumption with severity of liver disease and severity of PCM defined by SGA, handgrip strength and the diverse anthropometric parameters.
The alcohol ingestion habits tends to be associated with low BMI although the association did not reach statistical significance (X 2 =0.76, P =0.51). In addition, patients who consumed ethanol appeared to have more moderate and severe malnutrition defined by MUAC (X 2 =4.2, P =0.52) and MAMC (X 2 =3.3, P =0.38) as well as more severe malnutrition defined by TSF (X 2 =2.2, P =0.86). Alcohol consumption tended to be associated with severity of malnutrition using SGA score with more patients who consumed ethanol presenting with more moderate and severe malnutrition (X 2 =3.9, P =0.15). Deficient and low handgrip strength levels were associated with ethanol consumption (X 2 =7.7, P =0.09).
As a major contributor to CLD in this sample, alcoholic habits were significantly associated to severity of liver disease with more patients being CTP-B or CTP-C (X 2 =6.81, P =0.03) in this subgroup.
Relationship between PCM and severity of liver disease -
Table 3
To evaluate the impact of PCM in severity of liver disease it was compared CTP to SGA, handgrip strength and the different anthropometric parameters.
Low BMI was more prevalent in patients with CTP-B and CTP-C (X 2 = 6.81, P =0.03). Patients who were considered moderately and severely malnourished using MUAC presented commoner as CTP-B and CTP-C (X 2 =25.9, P =0.001). Data regarding TSF (X 2 =15.9, P =0.06) and MAMC (X 2 =14.1, P =0.02) showed that although the absolute number of patients with moderate and severe malnutrition was higher when they were CTP-A, the proportion of patients being CTP-B and CTP-C were more frequently malnourished. Dynamometry results showed the same tendency with the proportion of patients who were CTP-C presenting with deficient values (X 2 =11.2, P =0.15).
There was an association between severity of liver disease and SGA since patients being CTP-B and CTP-C were more frequently moderate-severe malnourished being SGA-B and SGA-C (X 2 =23.8, P <0.001).
Nutritional status and outcome of CLD patients
From the 25 deaths, 8 patients died during the first 6 months and 19 patients died after this period and during the first two years. Mortality rate at 2 years’ time was 19%. All deaths were associated with progression of liver disease. Eighteen patients had present/past alcoholic habits and 15 patients presented moderate-to-severe liver disease being CTP-B and CTP-C (X 2 =3.9, P =0.04) - Figure 3 . According with SGA, 11 patients were well nourished (A) and 14 presented moderate-severe malnutrition (B-C).
FIGURE 3
Patient distribution according with mortality after 2 years of follow-up and severity of chronic liver disease.
On a first statistical approach, comparing each anthropometric parameter with overall mortality, only severe malnutrition defined by TSF appeared to be clearly associated with mortality, since 17 from the 25 patients who died until the end of the follow-up period display severe malnutrition according with this tool. A multivariable analysis applied to identify predictors of survival using a binary logistic regression showed that severe malnutrition defined by TSF is associated with patient mortality (OR 15.2, P <0.001) with no significant data regarding the other anthropometric parameters.
DISCUSSION
PCM is a common complication of liver cirrhosis being associated with adverse prognosis if left untreated. It is of critical importance to assess the nutritional status of all CLD patients and to optimize nutritional support, maintaining adequate protein and caloric intake and correcting nutrient deficiencies 3,13 .
One hundred and thirty CLD patients were studied and signalled as high nutritional risk and followed in gastroenterology outpatient clinic or admitted to the gastroenterology ward due to acute decompensation. A full nutritional assessment was performed using diverse validated tools, namely SGA, anthropometry and handgrip strength through dynamometry.
As expected, BMI was insensitive to identify malnutrition in CLD patients as only 8% of the sample was considered malnourished according with this anthropometric parameter. Actually, BMI calculation reflects body weight, which is often overestimated by hydrosaline retention without representing true nutritional status. Body circumferences such as MUAC and MAMC as well as cutaneous skinfolds like TSF appear to recognize malnutrition early and better. In this sample, 72% of the patients were considered malnourished and 50% displayed severe malnutrition according with TSF. MUAC and MAMC also identified high number of patients presenting with mild and moderate malnutrition but fewer patients with severe malnutrition. In fact, fat mass is frequently first sacrificed in starvation status, which may explain the early impact of malnutrition in TSF, a parameter that reflect adipose reserves. Nevertheless, malnourished CLD patients often present with significant loss of muscle mass and thereby body circumferences seem also to be a good marker of malnutrition in these patients. SGA identified malnutrition in 41% of the patients with most of them being considered moderately malnourished. Those findings were consistent with recent studies on this issue 9,17,18,21 .
Furthermore, these results clearly shows that patients assessed in a ward setting present more frequent and severe malnutrition whatever the tool used to assess nutritional status. This fact may be explained by hypercatabolism, low food intake and loss of fat-free mass, which are exacerbated in decompensated disease.
Several reported studies have shown that functional status defined by handgrip strength correlates with severity of malnutrition and clinical outcome in different disease states 9,17,18,21 . More than a half of the tested patients in this sample displayed deficient/low values in dynamometry, which was associated with the high prevalence of PCM detected in CLD patients as it was previously reported 4,8,13,14,19,23,27 .
The present or past heavy alcoholic habits, even when they were present in patients with viral disease, were significant correlated with severity of liver disease and tend to be associated with severity of PCM as more severe malnourished patients defined by MUAC, TSF, MAMC and SGA were present in this subgroup. This data were also consistent with previous reports that generally also used a similar methodology 27 . In addition, patients with history of alcohol consumption appeared to have deficient/low handgrip strength values and consequently high degree of functional impairment. However, these results comparing alcohol consumption with severity of malnutrition approached but did not reach statistical significance ( P =0.09).
PCM identified by BMI, MUAC, MAMC and SGA was significant associated with severity of liver disease. Data regarding TSF showed the same tendency and approaches statistical significance ( P =0.06). Patients with more deteriorated functional status were especially CTP-C. Although data from handgrip strength were not statistically significant, this was probably due to the smaller number of patient that was evaluated by dynamometry.
During the follow-up period, a low mortality rate was found as only 19% of patients have died at the end of the study. All deaths were associated with CLD progression with most patients having advanced liver disease and moderate-to-severe malnutrition according with SGA. Nevertheless, a significant number of death patients were CTP A, which could mean that even in the presence of mild liver impairment, malnutrition may have a negative impact in the outcome. As it was also shown previously 21, TSF revealed to be the most sensitive anthropometric parameter to identify PCM and appeared to predict poor outcome in CLD patients identifying up to two thirds of patients who died and displayed severe malnutrition.
However, it was recognized some limitations in these study. It was used a convenience sample. The methodology used here did not accurately discriminate which patients continued alcohol consumption from those who were in total abstinence. This fact may constitute an important bias in the analysis as alcoholism can potentiate malnutrition in CLD and hence leading to a worst prognosis. On the other hand, dynamometry was not used to assess functional status in all patients, as the necessary equipment was not available during the all period of the study. Also, more sophisticated methods like bioimpedance and indirect calorimetry that are emerging in several institutions 7,20 were not applied in these study, as they are not available in most of Portuguese health centres. Nevertheless, the study highlights the importance of considering clinical and anthropometric data to screen and assess nutritional status in CLD patients showing its accuracy in detecting malnutrition especially using TSF and SGA.
CONCLUSION
With this experience, PCM is common in CLD patients, those with advanced liver disease tend to be more severely malnourished and alcohol consumption may play a very important causative role. Malnutrition defined by anthropometric and SGA is more prevalent in hospitalized CLD patients and contributed to a poor prognosis both in a hospital and in ambulatory setting. The present results shows that SGA is accurate to detect malnutrition in CLD. TSF seems to be the most efficient anthropometric parameter to assess nutritional status in these patients and is clearly associated with a poor outcome. Further studies are needed to evaluate the true importance of functional status defined by handgrip strength. As a rule, CLD patients have high risk of malnutrition and therefore, nutritional assessment is mandatory in their routine care.
ACKNOWLEDGMENTS
The authors thanks to Tiago Carrapito who has worked as a dietitian in the artificial feeding team, the collaboration in the data collection and patient nutritional assessment.
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Disclosure of funding: no funding received
Ethical approval: All procedures performed were in accordance with the ethical standards of the Institutional and/or National Committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Autoria
Gonçalo NUNES
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
Carla Adriana SANTOS
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
Rita BAROSA
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
Cristina FONSECA
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
Ana Teresa BARATA
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
Jorge FONSECA
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
CiiEM, Centro de Investigação Interdisciplinar Egas Moniz, Monte da Caparica, PortugalCentro de Investigação Interdisciplinar Egas MonizPortugalMonte da Caparica, PortugalCiiEM, Centro de Investigação Interdisciplinar Egas Moniz, Monte da Caparica, Portugal
Correspondence: Gonçalo Nunes. Departamento de Gastroenterologia. Hospital Garcia de Orta. Av. Torrado da Silva, 2805-267 - Almada, Portugal. E-mail: goncalo.n@hotmail.com
Declared conflict of interest of all authors: none
Authors contributions: Nunes G participates in data collection, performed statistical analysis and wrote the manuscript. Santos CA, Fonseca C and Fonseca J contribute to data collection and reviewed the final manuscript. Barosa R and Barata AT performed statistical analysis and also reviewed the text.
SCIMAGO INSTITUTIONS RANKINGS
Hospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, PortugalGENE - Artificial Feeding TeamPortugalAlmada, PortugalHospital Garcia de Orta, Departamento de Gastroenterologia, GENE - Artificial Feeding Team, Almada, Portugal
CiiEM, Centro de Investigação Interdisciplinar Egas Moniz, Monte da Caparica, PortugalCentro de Investigação Interdisciplinar Egas MonizPortugalMonte da Caparica, PortugalCiiEM, Centro de Investigação Interdisciplinar Egas Moniz, Monte da Caparica, Portugal
FIGURE 1
Patient distribution according with the etiology of CLD. HCV: Hepatitis C virus; HBV: hepatitis B virus; AIH: autoimmune hepatitis; NASH: non-alcoholic steato-hepatitis; PBC: primary biliary cirrhosis; PSC: primary sclerosing cholangitis.
FIGURE 2
Patient distribution according with nutritional parameters, SGA, severity of CLD and provenience. BMI: body mass index; MUAC: mid upper arm circumference; TSF: triceps skinfold; MAMC: mid arm muscular circumference; SGA: subjective global assessment; CTP: Child-Turcotte-Pugh.
TABLE 3
Association between alcohol consumption/severity of malnutrition in CLD patients and severity of CLD/PCM defined by anthropometry, subjective global assessment and dynamometry
imageFIGURE 1
Patient distribution according with the etiology of CLD. HCV: Hepatitis C virus; HBV: hepatitis B virus; AIH: autoimmune hepatitis; NASH: non-alcoholic steato-hepatitis; PBC: primary biliary cirrhosis; PSC: primary sclerosing cholangitis.
open_in_new
imageFIGURE 2
Patient distribution according with nutritional parameters, SGA, severity of CLD and provenience. BMI: body mass index; MUAC: mid upper arm circumference; TSF: triceps skinfold; MAMC: mid arm muscular circumference; SGA: subjective global assessment; CTP: Child-Turcotte-Pugh.
open_in_new
imageFIGURE 3
Patient distribution according with mortality after 2 years of follow-up and severity of chronic liver disease.
open_in_new
table_chartTABLE 1
Classification of patient functional status according with dynamometry results (24)
Handgrip strength
Patient characteristics - count (%)
Reduced
Adequate
High
Deficient
Low
Moderate
Very high
<5
[5-25]
[25-75]
[75-95]
≥95
table_chartTABLE 2
Demographic characteristics of the included patients
Patient characteristics - count (%)
Age
M = 60 years ± 12.2
Gender
male: 80 (61.5)
female: 50 (15.5)
Provenience
Outpatient: 89 (68)
Ward inpatient: 41 (32)
Alcohol consumption
74 (57)
Child-Turcotte-Pugh
A: 75 (57)
B: 31 (24)
C: 24 (19)
Subjective global assessment
A: 77 (59)
B: 40 (31)
C: 13 (10)
Body Mass Index
Low: 10 (8)
Not low: 120 (92)
Mid upper arm circumference
Severe malnutrition: 13 (10)
Moderate malnutrition: 13 (10)
Mild malnutrition: 30 (23)
Eutrophic: 61 (47)
Overweight: 3 (2)
Obesity: 10 (8)
Triceps skinfold
Severe malnutrition: 65 (50)
Moderate malnutrition: 16 (12)
Mild malnutrition: 13 (10)
Eutrophic: 13 (10)
Overweight: 2 (2)
Obesity: 21 (16)
Mid arm muscular
Severe malnutrition: 8 (6)
circumference
Moderate malnutrition: 8 (6)
Mild malnutrition: 30 (23)
Eutrophic: 84 (65)
Handgrip strength
Deficient: 16 (12)
Low: 27 (21)
Adequate: 24 (19)
Moderate: 8 (6)
High: 2 (1)
Mortality 3 months
8 (6)
Mortality 6 months
8 (6)
Mortality 1 year
15 (11.5)
Mortality 2 years
25 (19)
table_chartTABLE 3
Association between alcohol consumption/severity of malnutrition in CLD patients and severity of CLD/PCM defined by anthropometry, subjective global assessment and dynamometry
Chi-square
Significance
Alcohol-BMI
0.76
0.51
Alcohol-MUAC
4.2
0.52
Alcohol-TSF
2.2
0.86
Alcohol-MAMC
3.3
0.38
Alcohol-dynamometry
7.7
0.09
Alcohol-SGA
3.9
0.15
Alcohol-CTP
6.81
0.03
CTP-BMI
6.81
0.03
CTP-MUAC
25.9
0.001
CTP-TSF
15.9
0.06
CTP-MAMC
14.1
0.02
CTP-dinamometry
11.2
0.15
CTP-SGA
23.8
0.001
Como citar
NUNES, Gonçalo et al. Prognóstico e avaliação nutricional de doentes com doença hepática crônica com recurso à antropometria e avaliação global subjetiva. Arquivos de Gastroenterologia [online]. 2017, v. 54, n. 3 [Acessado 3 Abril 2025], pp. 225-231. Disponível em: <https://doi.org/10.1590/S0004-2803.201700000-28>. Epub 06 Jul 2017. ISSN 1678-4219. https://doi.org/10.1590/S0004-2803.201700000-28.
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Brazil E-mail: secretariaarqgastr@hospitaligesp.com.br
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