low body mass index is associated with impaired quality of life in patients with rheumatoid...
TRANSCRIPT
ORIGINAL ARTICLE
Low body mass index is associated with impaired qualityof life in patients with rheumatoid arthritis
Wataru FUKUDA,1 Atsushi OMOTO,1 Tamaki OHTA,1 Saori MAJIMA,1 Toshihiro KIMURA,1
Toru TANAKA,1 Masataka KOHNO2 and Yutaka KAWAHITO2
1Department of Diabetes, Endocrinology and Rheumatology, Japanese Red Cross Kyoto Daiichi Hospital, and 2Inflammation andImmunology, Kyoto Prefectural University of Medicine, Kyoto, Japan
AbstractAim: To investigate the relationship between quality of life (QOL) and rheumatoid chachesia, malnutrition in
patients with rheumatoid arthritis (RA).
Methods: EuroQol Group 5-Dimension Self-Report Questionnaire (EQ5D) and Japanese Health Assessment
Questionnaire (JHAQ) scores, body mass index (BMI), arm muscle area (AMA) and clinical indicators were mea-
sured in 385 RA patients. One-way analysis of variance for obtained data was conducted among three groups:
131 with low BMI (< 20), 163 with moderate (20–25) and 91 with high BMI (�25). Then multiple regression
analyses for JHAQ and EQ5D scores with nutritional and clinical indicators as independent variables were
performed.
Results: EQ5D and JHAQ scores were significantly lower and higher, respectively, in the low BMI group than
those in the moderate BMI group. Clinical indicators including doses of corticosteroid were similar among the
three groups except for disease duration. Disease activity score (DAS) 28, disease duration, C-reactive protein
and AMA were significant variables in the regression model for EQ5D.
Conclusion: Low BMI deteriorates the QOL of RA patients. Muscle protein loss apparently leads to a reduction
in BMI and QOL.
Key words: arm muscle area (AMA), body mass index (BMI), muscle protein, quality of life (QOL),
rheumatoid arthritis (RA), rheumatoid chachexia.
INTRODUCTION
It is a known fact that low body mass index (BMI) is
more common in patients with rheumatoid arthritis
(RA) when compared to that in the healthy popula-
tion.1 Using anthropometric measurements, we have
previously reported that RA patients have a characteris-
tic malnutrition profile with mild obesity in the early
period of illness. In addition, BMI and visceral and
skeletal muscle protein levels decrease as the disease
progresses.2 Apparently, the low BMI in RA patients is
primarily due to rheumatoid cachexia, loss of lean body
mass, and metabolic disorders caused by an increase in
the levels of proinflammatory cytokines such as tumor
necrosis factor (TNF)-a and interleukin (IL)-1b.3,4 The
reduction of BMI in RA patients is reportedly a predic-
tor of poor functional and life prognosis, particularly in
relation to cardiovascular mortality.5–7
Numerous studies have demonstrated that quality of
life (QOL) is lower in RA patients compared to that in
the healthy population. Sustained arthralgia and general
fatigue due to active inflammation are believed to play a
role in deterioration of QOL in RA patients; physical
disability and psychological disorders that result from
Correspondence: Dr Wataru Fukuda, Department of Diabetes,Endocrinology and Rheumatology, Japanese Red Cross KyotoDaiichi Hospital, 15-749 Honmachi, Higashiyama-ku, KyotoCity, Kyoto 605-0981, Japan.Email: [email protected]
© 2013 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd
International Journal of Rheumatic Diseases 2013; 16: 297–302
continuous inflammation may also contribute.8,9
Although the adverse effects of malnutrition on QOL
and prognosis have been investigated for certain disor-
ders such as infectious diseases10 and renal diseases,11 to
our knowledge, reports that investigated a relationship
between QOL and low BMI in RA patients have not been
published. A relationship between QOL and BMI in
arthritis patients has been discussed with a focus on high
BMI, obesity and deterioration of QOL.12,13 The present
cross-sectional study investigated the QOL of RA patients
from the perspective of malnutrition. Thus, we studied
the influence of BMIs of RA patients with the Japanese
Health Assessment Questionnaire (JHAQ),14 which indi-
cates functional disability, and the EuroQol Group
5-Dimension Self-Report Questionnaire (EQ5D).15–17
SUBJECTS AND METHODS
We studied 385 RA patients who regularly visited the
outpatient clinic at the Department of Diabetes, Endo-
crinology and Rheumatology at the Japanese Red Cross
Kyoto Daiichi Hospital, Japan. Written informed con-
sent for study participation was obtained from all
patients. All patients had a diagnosis of RA as per the
1987 American Rheumatism Association criteria.18
The following assessments were performed for all
patients: EQ5D, JHAQ, nutritional indices, and clinical
indicators; namely, age, sex, duration from RA onset
(years and months/12), C-reactive protein (CRP) levels
(mg/L), disease activity score 28 (DAS28)19 and dosages
of prednisolone (PSL) and methotrexate (MTX). The
EQ5D has been validated as an appropriate tool for the
evaluation of QOL in Japanese individuals.16,17
Nutritional status was assessed by measuring anthro-
pometric and biochemical parameters. Anthropometric
parameters included height (H), weight (W), mid-upper
arm circumference (AC), and triceps skinfold thickness
(TSF), which was measured at the mid-point between
the acromion process and the tip of the olecranon with
a Harpenden caliper. AC measurements were performed
at the same level with an insertion tape. Based on these
measurements, BMI and arm muscle area (AMA) were
calculated as follows20:
BMI ¼ W ðkgÞ=H ðmÞ2
AMA ¼ ðAC ðcmÞ � p� TSF ðcmÞÞ2=4p:
As body composition is influenced by gender and
age, we calculated the percentages of AMA (%AMA)
and TSF (%TSF) to age- and sex-adjusted mean val-
ues, which were obtained from the Japanese Anthro-
pometric Reference Data21 for comparative analysis.
Nutritional status was biochemically evaluated on
the basis of serum albumin and total cholesterol
levels.
The study was divided into two parts as follows. (i)
The aforementioned data were compared among three
groups formed on the basis of their BMI values: low
(< 20; n = 131), moderate (20–25; n = 163), and high
BMI groups (� 25; n = 91). Stratification of BMI was
defined according to previous reports.1,6,7 (ii) Stepwise
multivariate regression analyses for the JHAQ and
EQ5D scores were conducted using the nutritional and
clinical indicators of RA. Age, sex, disease duration,
DAS28, %TSF, %AMA, and CRP, serum albumin, total
cholesterol levels and dosages of PSL and MTX were
selected as independent variables, and ln (1 + JHAQ
score) and ln (2 � EQ5D score) were calculated as
dependent variables.
Statistical analysisIn comparisons among the three groups stratified as per
BMI values, a one-way analysis of variance (ANOVA) was
conducted first for continuous variables with normal
distributions. When the P-value for this overall compar-
ison was significant (< 0.05), post hoc pairwise compari-
sons were made using Tukey’s honestly significant
differences test. Kruskal–Wallis one-way ANOVA and Wil-
coxon tests for post hoc comparisons were performed for
nonparametric variables. All statistical analyses were
performed using JMP software version 8.0.1 (2009, SAS
Institute, Cary, NC, USA).
RESULTSComparisons among the three groupsstratified as per BMI valuesThe average age was not significantly different among
the three groups, but the proportion of males was
higher in the high BMI group (P = 0.002 vs. moderate
BMI, P = 0.013 vs. high BMI group). Both %AMA and
%TSF increased significantly with increase in BMI (each
P < 0.001 vs. other two groups). In patients with mod-
erate BMI values, the average value of AMA was
decreased to 91.21% of the normal value, but that of
TSF equaled 104.11% of the normal value. In the high
BMI group, the average value of AMA was close to the
standard at 102.50%, and TSF was significantly elevated
at 142.90% (Table 1). No significant differences were
found in DAS28 and CRP serum albumin levels and
298 International Journal of Rheumatic Diseases 2013; 16: 297–302
W. Fukuda et al.
average dose of PSL and MTX between the three groups,
but disease duration (mean, 11.37 years) was signifi-
cantly longer in the low BMI group than that in the
other two groups (P = 0.010 vs. moderate BMI,
P < 0.001 vs. high BMI group) (Fig. 1c,d). The average
EQ5D and JHAQ scores in the low, moderate and high
BMI groups were 0.67, 0.73 and 0.71, and 0.78, 0.53
and 0.61, respectively. This indicated that the EQ5D
score and JHAQ score were significantly lower and
higher, respectively, in the low BMI patients than those
in the moderate BMI patients (P = 0.013, P < 0.001,
respectively) (Fig. 1a,b).
Multiple regression analysis: dependentvariables of ln (1 + JHAQ score) and ln(2 � EQ5D score); independent variables ofnutritional and clinical indicatorsFive independent variables were selected by forward
stepwise regression analysis for each dependent variable
(Table 2). The significant variables in the regression
models of ln (2 � EQ5D score) were DAS28
(b = 0.5600), RA duration (b = 0.1510), %AMA
(b = �0.1383), and CRP levels (b = �0.1145). Disease
duration (b = �0.2457) and DAS28 (b = 0.4828)
strongly contributed to ln (JHAQ + 1). The age of
patients (b = 0.1897) and %AMA (b = 0.1036) were
also significant factors in the regression model for the
JHAQ score. %TSF, dose of prednisolone and other
variables exhibited no significant contribution to both
the EQ5D and JHAQ scores.
DISCUSSION
In the present study, the EQ5D score was significantly
lower in the low BMI group than that in the moderate
BMI group, which exhibited the highest score among
the three groups. Similarly, the JHAQ score was signifi-
cantly lower in the low BMI group than that in the
moderate BMI group. This means that low BMI, which
is an indicator of malnutrition, is associated with the
deterioration of QOL in RA patients. Conversely, the
indices for disease activity were not significantly differ-
ent among the three groups. The disease duration of RA
was significantly longer in the low BMI group than that
in the other two groups. These findings suggest that
arthralgia and fatigue accompanying severe inflamma-
tion in RA are not major factors contributing to the
worsening of QOL in RA patients with low BMI. How-
ever, joint destruction and muscle weakness caused by
persistent inflammation do appear to be possible causa-
tive factors for the deterioration of QOL in the low BMI
group. However, vascular risk6 and comorbidity scores7
are believed to be high in RA patients with low BMI,
suggesting that comorbidities, including cardiovascular
diseases, may impair QOL.
Multiple regression analysis revealed that the quantity
of muscle protein is an independent contributing factor
for QOL in RA patients. Among the elements constitut-
ing the human body, muscle protein (4.3–9.3%) and
subcutaneous fat (4.4–9.0%) correlate well with
BMI.20,22 In the present study, we observed that the
Table 1 Demographic and clinical characteristics of the RA patients
Low BMI Normal BMI High BMI Average [total]
Number 131 191 63 [385]
Male/female 109/22 146/45 39/24 [294/91]
Age (SD) 62.06 (13.90) 63.63 (12.25) 62.33 (9.87) 62.89 (12.49)
BMI (SD) 8.46 (1.10) 22.23 (1.38) 27.23 (1.95) 21.77 (3.27)
%AMA (SD) 79.6 (13.3) 91.2 (16.0) 102.5 (18.1) 88.80 (17.6)
%TSF (SD) 69.3 (31.4) 104.1 (41.4) 142.9 (55.8) 98.61 (48.1)
Disease duration (SD) 11.3 (9.2) 8.4 (8.9) 8.1 (8.2) 9.4 (9.2)
DAS28 (SD) 3.66 (1.16) 3.42 (1.23) 3.61 (1.13) 3.53 (1.19)
CRP (SD) 8.8 (1.22) 11.4 (2.01) 9.8 (1.15) 10.2 (1.65)
Albumin (SD) 4.05 (0.43) 4.07 (0.36) 4.17 (1.13) 4.077 (1.19)
Prednisolone (mg/day) 1.75 (2.48) 2.10 (2.71) 2.50 (3.03) 2.05 (2.70)
Methotrexate (mg/week) 3.70 (3.47) 3.62 (3.52) 3.59 (3.56) 3.64 (3.50)
Average age, DAS28, CRP and serum albumin levels, dose of prednisolone and methotrexate are not significantly different among the three groupsstratified as per BMI, although the ratio of males is higher in the high BMI group. Both %AMA and %TSF increase significantly with increase in BMI.In patients with normal BMI, the mean %AMA is 91.2% of the normal value, but mean %TSF is 104.1% of the normal value. Although the averagevalue of %AMA (102.5%) is close to the standard, that of %TSF (142.9%) is significantly elevated in the high BMI group. BMI, body mass index; %AMA, age- and sex-adjusted mean value of the percentage of arm muscle area; %TSF, age- and sex-adjusted mean value of the percentage of tricepsskinfold thickness; DAS28, disease activity score 28; CRP, C-reactive protein; SD, standard deviation.
International Journal of Rheumatic Diseases 2013; 16: 297–302 299
Low body mass and quality of life in RA
quantities of both muscle protein, that is, %AMA, and
subcutaneous fat, that is, %TSF, were decreased in the
RA patients with low BMI. Consequently, we needed to
clarify which of these factors was the major contributor
to the reduced QOL observed in the low BMI group.
The results of multivariate regression analysis indicated
(a) (b)
(c) (d) (e)
Figure 1 Comparison of indicatorsrelated to QOL and disease activityamong the three groups stratified as perbody mass index (BMI). The averageEQ5D score and JHAQ score are signifi-cantly lower (a) and higher (b), respec-tively, in the low BMI group than thosein the normal BMI group. The diseaseduration of RA is significantly longer inthe low BMI group than that in the othertwo groups (c), although DAS28 andserum albumin levels are not differentamong the three groups (d–e). QOL,quality of life; BMI, body mass index;EQ5D, the EuroQol Group 5-DimensionSelf-Report Questionnaire; JHAQ, theJapanese Health Assessment Question-naire; DAS28, disease activity score 28.
Table 2 Multiple regression analysis: dependent variables are EQ5D and JHAQ scores, and independent variables are nutritional
and clinical indicators
Analysis Independent
variable
Estimate b P-value
ln (2 � EQ5D score)
r2 = 0.356
P < 0.0001
DAS28 0.0795 0.5601 <0.0001RA duration 0.0028 0.1510 0.0005
%AMA �0.1332 �0.1383 0.0016
CRP �0.00117 �0.1145 0.0170
%TSF �0.0269 �0.0767 0.0664
ln (1 + JHAQ score)
r2 = 0.377
P < 0.0001
DAS28 0.1537 0.4828 <0.0001RA duration 0.0102 0.2457 <0.0001Age 0.0058 0.1897 <0.0001%AMA �0.2237 �0.1036 0.0159
CRP �0.00189 �0.0824 0.0795
Independent variables selected by a forward stepwise method are listed in the table. The significant variables in the regression models of ln(2 � EQ5D score) are DAS28, RA duration, CRP levels and %AMA. Disease duration, DAS28 and %AMA strongly contribute to ln (JHAQ + 1). Patientage is a significant factor in the regression model for the JHAQ but not for the EQ5D score. %TSF and other variables exhibit no significant contributionto both the EQ5D and JHAQ scores. %AMA, age- and sex-adjusted mean value of the percentage of arm muscle area; %TSF, age- and sex-adjustedmean value of the percentage of triceps skinfold thickness; DAS28, disease activity score 28; CRP, C-reactive protein; SD, standard deviation.
300 International Journal of Rheumatic Diseases 2013; 16: 297–302
W. Fukuda et al.
that the quantity of muscle protein was significantly
correlated with QOL independently of disease activity,
which was represented by DAS28 and CRP levels and
disease duration. In other words, decreased subcutane-
ous fat was not a contributing factor to the deteriora-
tion of QOL in RA patients with low BMI; however,
decreased muscle protein is likely to be a contributing
factor. Various factors appear to contribute to the mech-
anism that decreases muscle protein and aggravates
QOL in RA patients. Loss of muscle protein can cause
physical disability and interfere with daily activities and
ambulation, which was reflected in the increased JHAQ
and decreased EQ5D scores of our RA patients. Consid-
ering that the loss of muscle protein is thought to be a
result of increased pro-inflammatory cytokine levels,
metabolic disturbances caused by such cytokines may
be related to the impairment of QOL.
With the knowledge that maintaining the quantity of
muscle protein is essential in minimizing the decrease
in BMI and deterioration of QOL in RA patients, treat-
ments should aim to recover and prevent further loss of
muscle protein. As disease duration appears to be asso-
ciated with a decrease in muscle protein quantity or
BMI, early therapeutic intervention and long-term con-
trol of disease activity are likely to be important.
Although corticosteroids are known to bring catabolism
of protein and accumulation of fat to the body, the
dose of prednisolone does not show significant influ-
ence on either BMI or QOL in our study. This may be
the result of anti-inflammatory effects of corticosteroid
offsetting its less preferable metabolic effects. In addi-
tion, biologic agents that suppress TNF directly may be
more effective than synthetic anti-rheumatic drugs,
although this has not been demonstrated in short-term
studies.23,24 In addition, exercise and diet therapy
should be considered to maintain the quantity of mus-
cle protein, although further studies on the method and
effect of such interventions are warranted. We suppose
that a diet for preventing lipid accumulation and mus-
cle protein loss should be high-protein and low-lipid
with a controlled carbohydrate content, and speculate
that this diet could lead to an improvement in QOL in
RA patients by preventing the loss of muscle protein
and maintaining BMI within the normal range.
A limitation of our study is that it was conducted
using Japanese patients without considering sex, race,
social circumstances and RA treatments except medica-
tion. It is known that the evaluation of BMI is influ-
enced by sex, age, race and social circumstances. In
addition, we did not consider how RA treatments,
except corticosteroid and methotrexate, including
exercise diet and surgical intervention, affect the nutri-
tional state. These topics should be clarified in future
studies.
CONCLUSIONS
Quality of life (QOL) was deteriorated in RA patients
with low BMI, which was evident from the calculated
EQ5D and JHAQ scores, when compared with that in
patients with moderate BMI, although there was no dif-
ference in disease activity indicators between the
groups.
Loss of muscle protein, but not of subcutaneous fat,
plays an important role in the deterioration of QOL in
RA patients independently of disease activity and
duration.
ACKNOWLEDGEMENTS
This study was supported by a research grant from the
Ministry of Health, Labour and Welfare of Japan.
CONFLICT OF INTERESTS
None.
REFERENCES
1 Munro R, Capell H (1997) Prevalence of low body mass
in rheumatoid arthritis: association with the acute phase
response. Ann Rheum Dis 756, 326–9.2 Fukuda W, Yamazaki T, Akaogi T et al. (2005) Malnutri-
tion and disease progression in patients with rheumatoid
arthritis. Mod Rheumatol 15, 104–7.3 Roubenoff R, Roubenoff RA, Cannon JG et al. (1994)
Rheumatoid cachexia: cytokine-driven hypermetabolism
accompanying reduced body cell mass in chronic inflam-
mation. J Clin Invest 93, 2379–86.4 Summers GD, Deighton CM, Rennie MJ, Booth AH
(2008) Rheumatoid cachexia: a clinical perspective. Rheu-
matology 47, 1124–31.5 Kaufmann J, Kielstein V, Kilian S, Stein G, Hein G (2003)
Relation between body mass index and radiological pro-
gression in Patients with rheumatoid arthritis. J Rheumatol
30, 2350–5.6 Kremers HM, Nicola PJ, Crowson CS, Ballman KV, Gabri-
ael SE (2004) Prognostic importance of low body mass
index in relation to cardiovascular mortality in rheuma-
toid arthritis. Arthritis Rheum 50, 3450–7.7 Escalante A, Haas RW, Rincon I (2005) Paradoxical effect
of body mass index on survival in rheumatoid arthritis.
Arch Intern Med 165, 1624–9.
International Journal of Rheumatic Diseases 2013; 16: 297–302 301
Low body mass and quality of life in RA
8 Pollard L, Choy EH, Scott DL (2005) The consequences of
rheumatoid arthritis: quality of life measures in the indi-
vidual patients. Clin Exp Rheum 23, S43–52.9 Russel AS (2008) Quality-of–life assessment in rheuma-
toid arthritis. Pharmacoeconomics 26, 831–46.10 Falagas ME, Athanasoulia AP, Peppas G, Karageorgopou-
los DE (2009) Effect of body mass index on the outcome
of infections: a systemic review. Obes Rev 10, 280–9.11 Mafra D, Guebre-Egziabher F, Fouque D (2008) Body
mass index, muscle and fat in chronic kidney disease:
questions about survival. Nephrol Dial Transplant 23,2461–6.
12 Garcia-Poma A, Segami MI, Mora CS et al. (2007) Obesity
is independently associated with impaired quality of life
in patients with rheumatoid arthritis. Clin Rheumatol 26,1831–5.
13 Rosemann T, Laux G, Szecsenyi J (2007) Osteoarthritis:
quality of life, comorbidities, medication and health
service utilization assessed in a large sample of primary
care patients. J Orthop Surg Res 2, 12–21.14 Matsuda Y, Singh G, Yamanaka H et al. (2003) Validation
of Japanese version of the Stanford Health Assessment
Questionnaire in 3763 patients with rheumatoid arthritis.
Arthritis Rheum 49, 784–8.15 EuroQol group EQ5-D user guide: a measure of health-
related quality of life developed by the EuroQol group.
The EuroQol Website. http://www.euroqol.org, 2006.
16 Nishimura S, Tsuchiya A, Hisashige A et al. (1998) The
development of the Japanese EuroQol Instrument. Iryou to
Shakai 8, 109–23 (in Japanese).
17 Tsuchiya A, Ikeda S, Ikegami N et al. (2002) Estimating an
EQ-5D population value set: the case of Japan. Health Econ
11, 341–53.18 Arnett FC, Edworthy SM, Block DA et al. (1988) The
American Rheumatism Association 1987 revised criteria
for the classification of rheumatoid arthritis. Arthritis
Rheum 38, 432–42.19 Prevoo ML, van’t Hof MA, Kuper HH, vanLeeuwen MA,
van de Putte LB, van Riel PL (1995) Modified disease
activity scores that include twenty-eight-joint counts.
Development and validation in a prospective longitudinal
study of patients with rheumatoid arthritis. Arthritis Rheum
38, 44–8.20 Gibson RS (1990) Anthropometric assessment of body
composition. In: Principles of Nutritional Assessment, pp
200–5. Oxford University Press, Oxford.
21 Hosotani N, Okada T, Muto Y et al. (2002) Japanese
anthropometric data 2001 (in Japanese). Eiyohyoka to
Chiryo 19, 50–63.22 Fukuda W, Omoto A, Oku S et al. (2010) Contribution of
rheumatoid arthritis disease activity and disability to rheu-
matoid cachexia. Mod Rheumatol 20, 439–43.23 Marcora SM, Chester KR, Mittal G et al. (2006) Random-
ized phase 2 trial of anti-tumor necrosis factor therapy for
cachexia in patients with early rheumatoid arthritis. Am
J Clin Nutr 84, 1463–72.24 Metsios GS, Stavropoulos-Kalinoglou A, Douglas KMJ
et al. (2007) Blockade of tumor necrosis factor-a in rheu-
matoid arthritis: effects on components of rheumatoid
cachexia. Rheumatology 46, 1824–7.
302 International Journal of Rheumatic Diseases 2013; 16: 297–302
W. Fukuda et al.