Literature DB >> 19804614

Use of methotrexate therapy is not associated with decreased prevalence of metabolic syndrome.

Hennie G Raterman, Alexandre E Voskuyl, Ben A C Dijkmans, Michael T Nurmohamed.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19804614      PMCID: PMC2787303          DOI: 10.1186/ar2805

Source DB:  PubMed          Journal:  Arthritis Res Ther        ISSN: 1478-6354            Impact factor:   5.156


× No keyword cloud information.

With great interest, we read the article by Toms and colleagues [1] in the previous issue of Arthritis Research & Therapy, in which they assessed prevalences of metabolic syndrome (MetS) in rheumatoid arthritis (RA) patients. Moreover, they identified demographic and clinical factors that may be associated with MetS. Toms and colleagues found prevalences of up to 45% of MetS and demonstrated older age and health status (health assessment questionnaire) to be associated with MetS irrespectively of the definition used. Of most interest, an association between methotrexate (MTX) use and decreased presence of MetS was observed in patients more than 60 years of age. The investigators hypothesized that this may be attributed to a drug-specific effect (and not to an anti-inflammatory effect) either by changing levels of adenosine, which is known to interact with glucose and lipid metabolism, or by an indirect effect mediated through concomitant folic acid administration, thereby decreasing homocysteine levels. Recently, we also examined the prevalence of MetS in (a subgroup of) RA patients in the CARRÉ investigation, a prospective cohort study on prevalent and incident cardiovascular disease and its underlying cardiovascular risk factors [2]. The findings of Toms and colleagues stimulated us to perform additional analyses in our total study population (n = 353). The prevalences of MetS were 35% and 25% (Table 1) according to criteria of National Cholesterol Education Program (NCEP) 2004 and NCEP 2001, respectively. In multivariate backward regression analyses, we found significant associations between body mass index, pulse rate, creatinine levels, hypothyroidism and diabetes mellitus and the presence of MetS independently of the criteria used (Table 2). However, an independent association between single use of MTX or use of MTX in combination with other disease-modifying antirheumatic drugs, on the one hand, and a decreased prevalence of MetS, on the other hand, could not be demonstrated (even in the subgroup of patients over the age of 60).
Table 1

Characteristics of the study population

MetS presentaMetS absentaMetS presentbMetS absentb
n = 84n = 265n = 121n = 228P valueaP valueb
Demographics
 Age, years63.8 (± 8)63.1 (± 7)64.3 (± 8)62.7 (± 7)0.460.045
 Female, percentage766374620.0220.028
RA-related characteristics
 DAS284.2 (± 1.3)3.9 (± 1.4)4.1 (± 1.3)3.8 (± 1.4)0.210.062
 ESR, mm/hour22 (10-35)16 (9-30)20 (10-34)17 (9-31)0.0590.33
 CRP, mg/L11 (4-21)6 (3-16)8 (3-18)6 (3-19)0.0210.46
 RA duration, years7 (4-10)7 (4-10)7 (4-10)7 (5-10)0.830.19
 Erosion, percentage778379830.200.36
 Number of DMARDs1 (1-2)1 (1-1)1 (1-2)1 (1-1)0.260.43
 MTX current, percentage626063590.710.46
 MTX only, percentage393941380.950.67
 SSZ only, percentage8139140.230.22
 HCQ only, percentage14340.310.55
 Combination of DMARDs, percentage312529250.240.38
 TNF-blocking agent, percentage1191190.730.65
 Prednisolone only, percentage12311.000.42
Cardiovascular risk factors
 Current smoker, percentage263125320.420.15
 Pack-years, years17 (0-34)19 (2-38)19 (0-35)18 (2-38)0.230.75
 BMI, kg/m230 (± 4)26 (± 5)29 (± 4)25 (± 5)< 0.001< 0.001
 Creatinine, μmol/L89 (± 21)89 (± 16)91 (± 22)87 (± 14)0.990.070
 Renal clearance, mL/minute81 (± 24)72 (± 19)77 (± 23)73 (± 19)0.0030.062
 Pulse, beats per minute76 (± 11)73 (± 9)75 (± 11)73 (± 9)0.0050.015
 Diabetes mellitus, percentage143123< 0.0010.001
 Hypothyroidism, percentage122920.0010.003

aMetabolic syndrome (MetS) according to National Cholesterol Education Program (NCEP) 2001; bMetS according to NCEP 2004. Continuous variables are presented as means (± standard deviations) in cases of normal distribution or as medians (interquartile ranges) in cases of non-normal distribution. BMI, body mass index; CRP, C-reactive protein; DAS28, disease activity score using 28 joint counts; DMARD, disease-modifying antirheumatic drug; ESR, erythrocyte sedimentation rate; HCQ, hydroxychloroquine; MTX, methotrexate; RA, rheumatoid arthritis; SSZ, sulfasalazine; TNF, tumour necrosis factor.

Table 2

Variables associated with metabolic syndrome

UnivariateMultivariatea


OR95% CIP valueOR95% CIP value
Body mass index1.21.1-1.3< 0.0011.21.1-1.3< 0.001
Pulse1.031.01-1.060.0111.031.00-1.060.020
Creatinine1.011.00-1.020.0801.021.00-1.030.017
Hypothyroidism4.51.5-13.20.0074.71.5-15.00.009
Diabetes mellitus4.81.8-12.90.0024.51.4-15.20.014

aIn multivariate analyses, the following variables were used: gender, age, prednisolone only, methotrexate only, sulfasalazine only, hydroxychloroquine only, tumour necrosis factor-blocking agents, combination of disease-modifying antirheumatic drugs, pack-years, smoking, erosions, DAS28 (disease activity score using 28 joint counts), body mass index, pulse rate, creatinine levels, renal clearance, hypothyroidism and diabetes mellitus. CI, confidence interval; OR, odds ratio.

Characteristics of the study population aMetabolic syndrome (MetS) according to National Cholesterol Education Program (NCEP) 2001; bMetS according to NCEP 2004. Continuous variables are presented as means (± standard deviations) in cases of normal distribution or as medians (interquartile ranges) in cases of non-normal distribution. BMI, body mass index; CRP, C-reactive protein; DAS28, disease activity score using 28 joint counts; DMARD, disease-modifying antirheumatic drug; ESR, erythrocyte sedimentation rate; HCQ, hydroxychloroquine; MTX, methotrexate; RA, rheumatoid arthritis; SSZ, sulfasalazine; TNF, tumour necrosis factor. Variables associated with metabolic syndrome aIn multivariate analyses, the following variables were used: gender, age, prednisolone only, methotrexate only, sulfasalazine only, hydroxychloroquine only, tumour necrosis factor-blocking agents, combination of disease-modifying antirheumatic drugs, pack-years, smoking, erosions, DAS28 (disease activity score using 28 joint counts), body mass index, pulse rate, creatinine levels, renal clearance, hypothyroidism and diabetes mellitus. CI, confidence interval; OR, odds ratio. Therefore, to get more support for a drug-specific effect, it is of interest to know whether or not in the study of Toms and colleagues the MTX effect was present only in the group of RA patients with single use of MTX or in the group of MTX-treated patients with other antirheumatic drugs. As patients with MetS were significantly older, it would give further information whether age was an independent risk factor for MetS in regression analyses. Moreover, as readers, we are not informed about comorbidities like diabetes and clinical hypothyroidism, which are notorious cardiometabolic risk factors. On the whole, we could not confirm a plausible protective role for the use of MTX and presence of MetS, and hence further investigation is required to explain the discrepancy between our findings and those of Toms and colleagues.

Abbreviations

MetS: metabolic syndrome; MTX: methotrexate; NCEP: National Cholesterol Education Program; RA: rheumatoid arthritis.

Competing interests

The authors declare that they have no competing interests.
  2 in total

1.  The metabolic syndrome is amplified in hypothyroid rheumatoid arthritis patients: a cross-sectional study.

Authors:  H G Raterman; I C van Eijk; A E Voskuyl; M J L Peters; B A C Dijkmans; V P van Halm; S Simsek; W F Lems; M T Nurmohamed
Journal:  Ann Rheum Dis       Date:  2010-01       Impact factor: 19.103

2.  Methotrexate therapy associates with reduced prevalence of the metabolic syndrome in rheumatoid arthritis patients over the age of 60- more than just an anti-inflammatory effect? A cross sectional study.

Authors:  Tracey E Toms; Vasileios F Panoulas; Holly John; Karen M J Douglas; George D Kitas
Journal:  Arthritis Res Ther       Date:  2009-07-16       Impact factor: 5.156

  2 in total
  5 in total

1.  Prevalence of metabolic syndrome in women with rheumatoid arthritis and effective factors.

Authors:  Nilüfer Aygün Bilecik; Serpil Tuna; Nehir Samancı; Nilüfer Balcı; Halide Akbaş
Journal:  Int J Clin Exp Med       Date:  2014-08-15

2.  Increased frequency of metabolic syndrome among Vietnamese women with early rheumatoid arthritis: a cross-sectional study.

Authors:  Hanh-Hung Dao; Quan-Trung Do; Junichi Sakamoto
Journal:  Arthritis Res Ther       Date:  2010-12-23       Impact factor: 5.156

3.  The risk of metabolic syndrome in patients with rheumatoid arthritis: a meta-analysis of observational studies.

Authors:  Jianming Zhang; Lingyu Fu; Jingpu Shi; Xin Chen; Yongze Li; Bing Ma; Yao Zhang
Journal:  PLoS One       Date:  2013-10-25       Impact factor: 3.240

4.  Is the frequency of metabolic syndrome higher in South Korean women with rheumatoid arthritis than in healthy subjects?

Authors:  Seung-Geun Lee; Ji-Min Kim; Sun-Hee Lee; Kye-Hyung Kim; Ji-Hye Kim; Ji-Won Yi; Woo-Jin Jung; Young-Eun Park; Seong-Hu Park; Joung-Wook Lee; Seung-Hoon Baek; Jun-Hee Lee; Geun-Tae Kim
Journal:  Korean J Intern Med       Date:  2013-02-27       Impact factor: 2.884

5.  Relationship between Metabolic Syndrome and Rheumatoid Arthritis.

Authors:  Sang-Hyun Lee; Hochun Choi; Be-Long Cho; Ah-Reum An; Young-Gyun Seo; Ho-Seong Jin; Seung-Min Oh; Soo Hyun Jang
Journal:  Korean J Fam Med       Date:  2016-01-27
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.