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Impact of body weight on the achievement of minimal disease activity in patients with rheumatic diseases: a systematic review and meta-analysis

Arthritis Research & Therapy volume 18, Article number: 297 (2016) Cite this article

Abstract

Background

In this study, we evaluated the impact of obesity and/or overweight on the achievement of minimal disease activity (MDA) in patients with psoriatic arthritis (PsA) and patients with rheumatoid arthritis (RA) receiving an anti-rheumatic treatment. Obesity can be considered a low-grade, chronic systemic inflammatory disease and some studies suggested that obese patients with rheumatic diseases exhibit a lower rate of low disease activity achievement during treatment with anti-rheumatic drugs.

Methods

A systematic search was performed in major electronic databases (PubMed, Web of Science, Scopus, Embase) to identify studies reporting MDA achievement in obese and/or overweight patients with RA or PsA and in normal-weight RA or PsA control subjects. Results were expressed as Odds Ratios (ORs) with pertinent 95% Confidence Intervals (95%CIs).

Results

We included 17 studies (10 on RA and 7 on PsA) comprising a total of 6693 patients (1562 with PsA and 5131 with RA) in the analysis. The MDA achievement rate was significantly lower in obese patients than in normal-weight subjects (OR 0.447, 95% CI 0.346–0.577, p < 0.001, I 2 = 62.6%, p < 0.001). Similarly, overweight patients showed a significantly lower prevalence of MDA achievement than normal-weight subjects (OR 0.867, 95% CI 0.757–0.994, p = 0.041, I 2 = 64%, p = 0.007). Interestingly, the effect of obesity on MDA was confirmed when we separately analyzed data on patients with RA and patients with PsA. In contrast, when we evaluated the effect of overweight, our results were confirmed for PsA but not for RA. A meta-regression analysis showed that follow-up duration, age, male sex, and treatment duration are covariates significantly affecting the effect of obesity/overweight on MDA achievement.

Conclusions

The results of our meta-analysis suggest that obesity and overweight reduce the chances to achieve MDA in patients with rheumatic diseases receiving treatment with traditional or biologic disease-modifying antirheumatic drugs.

Background

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by inflammation of the synovial tissue that leads to bone erosion and progressive disability. Its prevalence of 0.5–1% in the general population makes it the most common chronic inflammatory condition [1]. Psoriatic arthritis (PsA) is a chronic inflammatory joint disease affecting up to 40% of patient with psoriasis, with a prevalence of 0.3–1% in the general population and leading to severe physical limitations and disabilities [2].

Besides articular manifestations, PsA and RA are characterized by an increased cardiovascular (CV) risk [3, 4], as represented by a higher prevalence of metabolic syndrome and of some of its major features (obesity, hypertension, hypercholesterolemia, hypertriglyceridemia, impaired fasting glucose) [5], increased platelet reactivity [6–8], higher degree of subclinical atherosclerosis [4, 9], impairment of endothelial function, and arterial stiffness [10–12]. In particular, several studies have shown a higher prevalence of obesity in patient with PsA and patients with RA than in the general population. Obesity causes an abnormal expression of adipokines (e.g., tumor necrosis factor-α [TNF-α], interleukin-6 [IL-6], adiponectin, leptin), which leads to a proinflammatory status. Thus, obesity can be considered a low-grade, chronic systemic inflammatory disease [13, 14]. Moreover, immune-mediated inflammation may act synergistically with obesity-mediated inflammatory status and may influence disease activity in rheumatic diseases [13, 15, 16]. Some studies [17] suggested that obese patients with rheumatic diseases exhibit a lower rate of low disease activity achievement during treatment with antirheumatic drugs. However, these results were challenged and not confirmed by other studies [18, 19]. In the present meta-analysis, we evaluated whether obesity and overweight impact the clinical response in patients with PsA and patients with RA receiving treatment with traditional disease-modifying antirheumatic drugs (DMARDs) or biologic DMARDs.

Methods

A protocol for this review was prospectively developed, detailing the specific objectives, the criteria for study selection, the approach to assessment of study quality, the outcomes, and the statistical methods.

Search strategy

To identify all available studies, a detailed search of studies reporting the achievement of minimal disease activity (MDA) in obese/overweight patients with RA/PsA and in normal-weight control subjects was conducted according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines [20]. A systematic search was performed in major electronic databases (PubMed, Web of Science, Scopus, Embase), using the following search terms in all possible combinations: psoriatic arthritis, rheumatoid arthritis, obese, obesity, overweight, body mass index, body composition, body weight, adiposity. The latest search was performed in June 2016. The search strategy was developed without any language or publication year restriction. In addition, the reference lists of all retrieved articles were manually reviewed. In case of missing data, study authors were contacted by email to try to retrieve original data. Two independent authors (RL and PP) analyzed each article and performed the data extraction independently. In case of disagreement, a third investigator was consulted (MNDDM). Discrepancies were resolved by consensus. Selection results are reported according to a PRISMA flowchart (Additional file 1).

Data extraction and quality assessment

According to the prespecified protocol, all studies comparing the rate of MDA achievement in obese or overweight patients with RA or PsA and in normal-weight control subjects were included. Case reports, animal models, and reviews were excluded. To be included in the analysis, a study had to provide the rate of MDA achievement in obese and/or in overweight patients with RA and/or PsA versus normal-weight control subjects. Also, studies reporting the OR with 95% CI for MDA achievement between obese or overweight patients with RA or PsA and normal-weight control subjects were included. Obesity and overweight were defined according to BMI categories of included patients: normal weight (BMI <25 kg/m2), overweight (BMI 25–30 kg/m2), and obese (BMI >30 kg/m2). MDA achievement was defined on the basis of Disease Activity Score in 28 joints (DAS28) or according to Coates criteria during treatment. From each study, data regarding sample size, major clinical and demographic variables, and data about MDA achievement were extracted. To exclude the risk of data overlap, original databases were analyzed for studies performed in the same institutions. Evaluation of methodological quality of each study was not performed, because it failed to demonstrate a clear advantage [21].

Statistical analysis and risk of bias assessment

Statistical analysis was carried out using Comprehensive Meta-analysis version 2 software (2005; Biostat, Englewood, NJ, USA). Differences in MDA achievement between obese or overweight patients with RA or PsA and normal-weight control subjects were expressed as ORs with pertinent 95% CIs. The overall effect was tested using Z-scores, and significance was set at p < 0.05. Furthermore, meta-regression analysis was performed to evaluate the impact of clinical and demographic data on the evaluated outcomes.

Statistical heterogeneity between studies was assessed with chi-square test or Cochran’s Q test, and the I 2 statistic, which measures inconsistency across study results and describes the proportion of total variation in study estimates that is due to heterogeneity rather than sampling error. In detail, I 2 values of 0% indicate no heterogeneity, 25% low heterogeneity, 25–50% moderate heterogeneity, and 50% high heterogeneity [22]. Publication bias was represented graphically by funnel plots of the standard difference in means versus the standard error. Visual inspection of funnel plot asymmetry was performed to address possible small-study effect [23]. In order to be as conservative as possible, the random-effect method was used to take into account the variability among included studies.

Subgroup analyses

We also planned to perform subanalyses of results according to the type of rheumatic disease evaluated (RA or PsA).

Sensitivity analyses

Given the several confounding factors that might impact the difference in MDA achievement between obese or overweight patients and normal-weight control subjects, a sensitivity analysis was performed by pooling only ORs of MDA achievement obtained by means of multivariate analysis and adjusted for a series of potential confounders. In addition, a further sensitivity analysis was performed after excluding studies defining obesity as BMI >25 kg/m2 and the study defining MDA as an on-treatment DAS28 < 5.1.

Meta-regression analyses

We hypothesized that differences among included studies might be affected by demographic (mean age, male sex) and clinical (follow-up duration, treatment duration, baseline DAS28, disease duration, C-reactive protein [CRP] and erythrocyte sedimentation rate [ESR] at baseline) variables. To assess the possible effect of such variables in explaining different results observed across studies, we planned to perform meta-regression analyses after implementing a regression model with MDA achievement as a dependent variable (y) and the above-mentioned covariates as independent variables (x). This analysis was performed with Comprehensive Meta-analysis version 2 software.

Results

As reported in Additional file 1: Figure S1, of the 603 retrieved studies, 583 were excluded because they were reviews or case reports or were judged to be off the topic after scanning the title and/or the abstract. Another three studies were excluded after full-length paper evaluation because they reported only data about radiographic joint damage progression. Thus, 17 studies [7, 15–19, 24–34] (10 on RA and 7 on PsA) comprising a total of 6693 patients (1562 with PsA and 5131 with RA) were included in the analysis. All the included studies stratified the study population according to the presence of obesity. In addition, eight studies [17–19, 29–33] also reported data on overweight patients.

Study characteristics

The major characteristics of included studies are shown in Table 1. With the exception of three studies in which researchers defined obesity as a BMI >25 kg/m2 [18, 27, 28], patients were categorized into the following groups according to their body mass index (BMI): normal (<25 kg/m2), overweight (25–30 kg/m2), and obese (>30 kg/m2). Overall, a total of 1765 (26.4%) of 6693 enrolled patients were obese, 1579 (23.6%) were overweight, and 3349 (50.0%) were normal weight.

Table 1 Characteristics of included studies
Full size table

The mean age of the subjects ranged from 45.6 to 64.6 years, the prevalence of male sex from 11.3% to 58.7%, and the treatment duration from 3 to 42.6 months. The cutoffs used to define achievement of MDA were based on an on-treatment DAS28 score <2.6 in seven studies [17, 18, 25, 28, 29, 33, 34], <5.1 in one study [32], or according to the Coates criteria in six studies [7, 15, 16, 19, 24, 30].

MDA and body weight

All the 17 studies [7, 15–19, 24–34] provided data about achievement of MDA in 1765 obese patients with PsA or RA receiving a treatment with traditional or biologic DMARDs. As showed in Fig. 1, the remission rate was significantly lower in the 1765 obese patients than in the 3349 normal-weight subjects (30.9%, [95% CI 21.1–42.8%] vs. 50.0% [95% CI 38.8–61.1%]) with a corresponding OR of 0.447 (95% CI 0.346–0.577, p < 0.001, I 2 = 62.6%, p < 0.001). The heterogeneity was not reduced by the exclusion of one study at a time. Overall, the risk of not achieving MDA attributable to the presence of obesity was 38.2%.

Fig. 1
figure1

Forest plot of minimal disease activity achievement in obese patients versus normal-weight patients with rheumatic diseases (rheumatoid arthritis or psoriatic arthritis)

Full size image

Interestingly, a significant difference was also found in eight studies [17–19, 29–33] in which researchers reported data on overweight patients and showed a significantly lower prevalence of MDA achievement in the 1579 overweight patients (297 with PsA and 1282 with RA) than in the 1794 normal-weight subjects (OR 0.867, 95% CI 0.757–0.994, p = 0.041, I 2 = 64%, p = 0.007) (Fig. 2). The heterogeneity was not reduced by the exclusion of one study at a time.

Fig. 2
figure2

Forest plot of minimal disease activity achievement in overweight patients versus normal-weight patients with rheumatic diseases (rheumatoid arthritis or psoriatic arthritis)

Full size image

Subgroup analyses (PsA and RA)

As shown in Table 2, 10 of the 17 studies [18, 25–29, 31–34] included in our meta-analysis enrolled patients with RA, whereas the remaining 7 [7, 15–17, 19, 24, 30] examined patients with PsA. Overall, the studies on patients with RA comprised a total of 3849 patients, including 1122 obese subjects compared and 2727 normal-weight control subjects. The studies on PsA comprised a total of 1265 patients, including 643 obese subjects and 622 normal-weight control subjects. The MDA achievement rate was significantly higher in those who had a normal body weight than in obese patients, both in patients with RA (OR 0.583, 95% CI 0.401–0.848, p = 0.005) and in those with PsA (OR 0.369, 95% CI 0.249–0.546, p < 0.001). In contrast, when we evaluated the effect of overweight, we found that these results were confirmed for PsA but not for RA (Table 2).

Table 2 Odds of achieving minimal disease activity in obese patients versus normal-weight patients, stratified according to type of rheumatic disease (rheumatoid arthritis and psoriatic arthritis)
Full size table

Sensitivity analyses

To minimize the impact of several confounding factors on the difference in MDA achievement between obese or overweight patients and normal-weight control subjects, we pooled data from the five studies [18, 19, 25, 27, 34] in which researchers reported adjusted risk estimates. This sensitivity analysis consistently confirmed the lower MDA achievement, both in obese (OR 0.481, 95% CI 0.385–0.602) and in overweight patients (OR 0.657, 95% CI 0.521–0.829), than in normal-weight control subjects. In addition, these results were confirmed after we excluded studies [18, 27, 28] defining obesity as BMI >25 kg/m2 and the study [32] defining MDA as an on-treatment DAS28 < 5.1 (Additional file 1: Figure S2).

Publication bias

Funnel plots of effect size versus standard error for studies evaluating the association of BMI with MDA rate were quite symmetrical, suggesting absence of publication bias and of small-study effect (Additional file 1: Figure S3). Egger’s test confirmed the absence of publication bias both for studies on obesity (p =0.285) and for studies on overweight (p = 0.314).

Meta-regression analysis

To further assess the impact of BMI on decreasing chances of remission, some meta-regression analyses were performed. While follow-up, age, male sex, and treatment duration affected the difference in MDA achievement between obese or overweight patients and normal-weight subjects (Z-value 2.66, p = 0.008; Z-value 3.19, p = 0.001; Z-value −2.29, p = 0.022; Z-values 3.0, p = 0.003, respectively) (Fig. 3), baseline DAS28, disease duration, CRP, and ESR at baseline did not (Z-value −0.22, p = 0.827; Z-value −1.08, p = 0.277, Z-value −1.60, p = 0.108; and Z-value 1.62, p = 0.104, respectively) (Additional file 1: Figure S4).

Fig. 3
figure3

Meta-regression of the effect of follow-up duration, age, sex, and treatment duration on the difference in minimal disease activity achievement between obese patients and control subjects

Full size image

Discussion

In the present meta-analysis, we evaluated the impact of obesity or overweight on the achievement of MDA in patients with PsA and patients with RA receiving treatment with traditional or biologic DMARDs. We found a significantly lower MDA achievement in obese patients (BMI >30 kg/m2) than in those with a normal weight (BMI <25 kg/m2). Interestingly, a significant difference has been also documented in overweight patients (BMI from 25 to 30 kg/m2) compared with those with a normal weight (BMI <25 kg/m2). Moreover, all results were confirmed when we separately analyzed patients with RA and patients with PsA.

Meta-regression analyses refined and extended our findings. Interestingly, we found that follow-up, treatment duration, age, and male sex affected the difference in MDA achievement between obese patients and normal-weight subjects. In detail, we found that a progressive increase in treatment duration leads to a lower difference in the rate of MDA achievement between obese patients and those with a normal weight. This result might suggest that obese patients may need a longer-lasting antirheumatic treatment to achieve MDA. However, data about the time needed to achieve MDA are not available; thus, further studies with ad hoc designs are needed to verify this hypothesis.

With regard to age and sex, we found that the reduction in MDA achievement due to obesity is more significant in males and in younger subjects. This finding is of particular interest, considering that some previous data suggested that a young age and male sex are able to identify patients most likely to achieve MDA during treatment with antirheumatic drugs [30, 35]. Thus, according to our results, obesity could hamper the effect of these predictors of MDA achievement. However, these results could be due to chance, and further studies evaluating potential underlying mechanisms are needed to address this issue.

Several different mechanisms may be involved in the explanation of the impact of obesity on MDA achievement. It is known that adipose tissue has an endocrine function because it secretes many molecules (adipokines) involved in the inflammatory network. These mediators include mainly adiponectin, leptin, plasminogen activator inhibitor-1 (PAI-1), IL-6, and TNF-α. Adiponectin is an anti-inflammatory cytokine. A low concentration of adiponectin is associated with insulin resistance and impaired endothelium-dependent vasodilation. Low serum levels of adiponectin have been reported in several chronic diseases such as obesity and psoriasis. Both leptin and PAI-1 induce endothelial dysfunction. In addition, IL-6 and TNF-α promote insulin resistance in skeletal muscle and liver as well as proinflammatory activity in synovial tissue. Moreover, TNF-α induces endothelial dysfunction and liver synthesis of clotting factors, thus predisposing individuals to atherosclerosis and atherothrombosis [36]. High levels of TNF-α and IL-6 eventually reduce adiponectin production by adipose tissue, determining a self-maintained system.

A further relevant information that could be derived from our study is the prevalence of obesity in patients with rheumatic disease. Interestingly, patients were consecutively enrolled in the included studies, and among 6693 patients (1562 with PsA and 5131 with RA), the prevalence of obesity or overweight was about 50%. This finding further strengthens the hypothesis of the high prevalence of cardiometabolic risk factors in patients with rheumatic diseases [4, 37]. Much data in the literature supports this possibility [38–40], and the finding that the vascular morbidity/mortality of patients with rheumatic diseases resembles that of patients with type 2 diabetes mellitus further helps define the severity of the CV risk in this clinical setting [41]. In fact, obesity is associated with a hyperexpression of TNF-α and other adipokines (e.g., IL-6, leptin, adiponectin) and transforming growth factor-β, which leads to a chronic proinflammatory state. Moreover, subjects with rheumatic diseases exhibit an enhanced prevalence of the metabolic syndrome and of some of its major features (obesity, hypertension, hypercholesterolemia, hypertriglyceridemia, and impaired fasting glucose). However, such an association does not entirely explain the extent of premature atherosclerosis in subjects with rheumatic diseases, and inflammation appears to act synergistically with traditional vascular risk factors (VRFs). In fact, several studies demonstrated that patients with rheumatic diseases had increased platelet reactivity [6–8], a higher grade of subclinical atherosclerosis [4, 9], impairment of endothelial function, and arterial stiffness [10–12], as compared with control subjects matched for CV risk factors. In this setting, antirheumatic treatment was demonstrated to have beneficial effects on lowering the CV risk in these patients by controlling systemic inflammation, with maximum effect in those who achieved MDA [8].

Our study has some potential limitations. First, the studies included in our meta-analysis had different inclusion and exclusion criteria, and there was significant heterogeneity among the studies. Interestingly, all studies used standardized BMI cutoffs to define the presence/absence of obesity/overweight. However, three studies that defined obesity as a BMI >25 kg/m2 [18, 27, 28] did not provide separate data for overweight and obesity. Interestingly, when we repeated the analyses after excluding these three studies, all results were entirely confirmed. A further potential source of bias is the lack of data about changes in BMI during the study period. Some evidence in the literature suggested that treatment with antirheumatic drugs is able to modify BMI [3, 42] and that weight loss is able to increase the MDA achievement rate [5]. This should be taken into account when interpreting results of the present meta-analysis.

The definition of MDA was highly variable among studies. The cutoff to define MDA achievement was based on an on-treatment DAS28 score <2.6 in seven studies [17, 18, 25, 28, 29, 33, 34], <5.1 in one study [32], and according to the Coates criteria in six studies on PsA [7, 15, 16, 19, 24, 30]. In addition, both DAS28 and Coates criteria also include ESR and CRP values for the assessment of disease activity. Because obesity is associated with low-grade inflammation [13], ESR and CRP levels can result in elevated independently of disease activity. This may lead to a misclassification of MDA achievement. To overcome this problem, newer criteria for MDA definition, specific for obese patients and independent of ESR and CRP, should be used in future studies. Furthermore, there are some major differences in the prevalence of clinical and demographic data of enrolled patients, and, with the meta-regression approach, we were able to adjust results for some but not all potential confounders. Thus, extreme caution is necessary in interpretation of the overall results.

Although it was not possible to conclusively ascertain sources of heterogeneity, all results were confirmed in all subgroups and sensitivity analyses, and no publication bias was found in our analyses. Moreover, to take into account the effect of confounding factors on the difference in the MDA achievement between obese or overweight patients and normal-weight control subjects, we repeated the analysis by pooling only data adjusted for potential confounders, and all results were confirmed. Differences in the types of rheumatic disease studied might represent a potential source of bias. In particular, 10 of the 17 studies included in our meta-analysis were performed with patients with RA, whereas the remaining 7 studies were of patients with PsA. Interestingly, the results obtained in the primary analysis were entirely confirmed when we separately analyzed data on PsA and RA.

Conclusions

Despite some limitations, the results of our study suggest that obesity and overweight reduce the chances to achieve MDA in patients with rheumatic diseases starting treatment with antirheumatic drugs.

Abbreviations

BMI:

Body mass index

CRP:

C-reactive protein

CV:

Cardiovascular

DAS28:

Disease Activity Score in 28 joints

DMARD:

Disease-modifying antirheumatic drug

ESR:

Erythrocyte sedimentation rate

IL-6:

Interleukin-6

MDA:

Minimal disease activity

PAI-1:

Plasminogen activator inhibitor-1

PRISMA:

Preferred Reporting Items for Systematic reviews and Meta-Analyses

PsA:

Psoriatic arthritis

RA:

Rheumatoid arthritis

TNF-α:

Tumor necrosis factor α

VRF:

Vascular risk factor

References

  1. 1.

    Alamanos Y, Drosos AA. Epidemiology of adult rheumatoid arthritis. Autoimmun Rev. 2005;4(3):130–6.

    Article  PubMed  Google Scholar 

  2. 2.

    Taylor W, Gladman D, Helliwell P, Marchesoni A, Mease P, Mielants H, CASPAR Study Group. Classification criteria for psoriatic arthritis: development of new criteria from a large international study. Arthritis Rheum. 2006;54(8):2665–73.

    Article  PubMed  Google Scholar 

  3. 3.

    Di Minno MN, Iervolino S, Lupoli R, Russolillo A, Coppola A, Peluso R, et al. Cardiovascular risk in rheumatic patients: the link between inflammation and atherothrombosis. Semin Thromb Hemost. 2012;38(5):497–505.

    Article  PubMed  Google Scholar 

  4. 4.

    Di Minno MN, Ambrosino P, Lupoli R, Di Minno A, Tasso M, Peluso R, et al. Cardiovascular risk markers in patients with psoriatic arthritis: a meta-analysis of literature studies. Ann Med. 2015;47(4):346–53.

    Article  PubMed  Google Scholar 

  5. 5.

    Di Minno MN, Peluso R, Iervolino S, Russolillo A, Lupoli R, Scarpa R, CaRRDs Study Group. Weight loss and achievement of minimal disease activity in patients with psoriatic arthritis starting treatment with tumor necrosis factor α blockers. Ann Rheum Dis. 2014;73(6):1157–62.

    Article  PubMed  Google Scholar 

  6. 6.

    Di Minno MN, Iervolino S, Peluso R, Scarpa R, Di Minno G. Platelet reactivity and disease activity in subjects with psoriatic arthritis. J Rheumatol. 2012;39(2):334–6.

    Article  PubMed  Google Scholar 

  7. 7.

    Di Minno MN, Iervolino S, Peluso R, Di Minno A, Ambrosino P, Scarpa R, CaRRDs Study Group. Hemostatic and fibrinolytic changes are related to inflammatory conditions in patients with psoriatic arthritis—effect of different treatments. J Rheumatol. 2014;41(4):714–22.

    Article  PubMed  Google Scholar 

  8. 8.

    Di Minno MN, Iervolino S, Zincarelli C, Lupoli R, Ambrosino P, Pizzicato P, et al. Cardiovascular effects of etanercept in patients with psoriatic arthritis: evidence from the cardiovascular risk in rheumatic diseases database. Expert Opin Drug Saf. 2015;14(12):1905–13.

    Article  PubMed  Google Scholar 

  9. 9.

    Ambrosino P, Lupoli R, Di Minno A, Tasso M, Peluso R, Di Minno MN. Subclinical atherosclerosis in patients with rheumatoid arthritis: a meta-analysis of literature studies. Thromb Haemost. 2015;113(5):916–30.

    Article  PubMed  Google Scholar 

  10. 10.

    Di Minno MN, Iervolino S, Peluso R, Scarpa R, Di Minno G, CaRRDs Study Group. Carotid intima-media thickness in psoriatic arthritis: differences between tumor necrosis factor-α blockers and traditional disease-modifying antirheumatic drugs. Arterioscler Thromb Vasc Biol. 2011;31(3):705–12.

    Article  PubMed  Google Scholar 

  11. 11.

    Di Minno MN, Ambrosino P, Lupoli R, Di Minno A, Tasso M, Peluso R, et al. Clinical assessment of endothelial function in patients with rheumatoid arthritis: a meta-analysis of literature studies. Eur J Intern Med. 2015;26(10):835–42.

    Article  PubMed  Google Scholar 

  12. 12.

    Ambrosino P, Tasso M, Lupoli R, Di Minno A, Baldassarre D, Tremoli E, et al. Non-invasive assessment of arterial stiffness in patients with rheumatoid arthritis: a systematic review and meta-analysis of literature studies. Ann Med. 2015;47(6):457–67.

    Article  PubMed  Google Scholar 

  13. 13.

    Russolillo A, Iervolino S, Peluso R, Lupoli R, Di Minno A, Pappone N, et al. Obesity and psoriatic arthritis: from pathogenesis to clinical outcome and management. Rheumatology (Oxford). 2013;52(1):62–7.

    CAS  Article  Google Scholar 

  14. 14.

    Di Minno MN, Ambrosino P, Peluso R, Di Minno A, Lupoli R, Dentali F, CaRRDs Study Group. Lipid profile changes in patients with rheumatic diseases receiving a treatment with TNF-α blockers: a meta-analysis of prospective studies. Ann Med. 2014;46(2):73–83.

    Article  PubMed  Google Scholar 

  15. 15.

    Di Minno MN, Peluso R, Iervolino S, Lupoli R, Russolillo A, Scarpa R, et al. Obesity and the prediction of minimal disease activity: a prospective study in psoriatic arthritis. Arthritis Care Res (Hoboken). 2013;65(1):141–7.

    Article  Google Scholar 

  16. 16.

    Di Minno MN, Peluso R, Iervolino S, Lupoli R, Russolillo A, Tarantino G, et al. Hepatic steatosis, carotid plaques and achieving MDA in psoriatic arthritis patients starting TNF-α blockers treatment: a prospective study. Arthritis Res Ther. 2012;14(5):R211.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Iannone F, Fanizzi R, Scioscia C, Anelli MG, Lapadula G. Body mass does not affect the remission of psoriatic arthritis patients on anti-TNF-α therapy. Scand J Rheumatol. 2013;42(1):41–4.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Sandberg ME, Bengtsson C, Källberg H, Wesley A, Klareskog L, Alfredsson L, et al. Overweight decreases the chance of achieving good response and low disease activity in early rheumatoid arthritis. Ann Rheum Dis. 2014;73(11):2029–33.

    Article  PubMed  Google Scholar 

  19. 19.

    Eder L, Thavaneswaran A, Chandran V, Cook RJ, Gladman DD. Obesity is associated with a lower probability of achieving sustained minimal disease activity state among patients with psoriatic arthritis. Ann Rheum Dis. 2015;74(5):813–7.

    Article  PubMed  Google Scholar 

  20. 20.

    Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7), e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Juni P, Witschi A, Bloch R, Egger M. The hazards of scoring the quality of clinical trials for meta-analysis. JAMA. 1999;282(11):1054–60.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Sterne JA, Egger M, Smith GD. Systematic reviews in health care: investigating and dealing with publication and other biases in meta-analysis. BMJ. 2001;323(7304):101–5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Di Minno MN, Iervolino S, Peluso R, Russolillo A, Lupoli R, Scarpa R, et al. Hepatic steatosis and disease activity in subjects with psoriatic arthritis receiving tumor necrosis factor-α blockers. J Rheumatol. 2012;39(5):1042–6.

    Article  PubMed  Google Scholar 

  25. 25.

    Ellerby N, Mattey DL, Packham J, Dawes P, Hider SL. Obesity and comorbidity are independently associated with a failure to achieve remission in patients with established rheumatoid arthritis. Ann Rheum Dis. 2014;73(11), e74.

    Article  PubMed  Google Scholar 

  26. 26.

    Iannone F, Fanizzi R, Notarnicola A, Scioscia C, Anelli MG, Lapadula G. Obesity reduces the drug survival of second line biological drugs following a first TNF-α inhibitor in rheumatoid arthritis patients. Joint Bone Spine. 2015;82(3):187–91.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Heimans L, van den Broek M, le Cessie S, Siegerink B, Riyazi N, Han KH, et al. Association of high body mass index with decreased treatment response to combination therapy in recent-onset rheumatoid arthritis patients. Arthritis Care Res (Hoboken). 2013;65(8):1235–42.

    CAS  Article  Google Scholar 

  28. 28.

    Choe JY, Bae J, Lee H, Park SH, Kim SK. Lack association of body mass index with disease activity composites of rheumatoid arthritis in Korean population: cross-sectional observation. Clin Rheumatol. 2014;33(4):485–92.

    Article  PubMed  Google Scholar 

  29. 29.

    Gremese E, Carletto A, Padovan M, Atzeni F, Raffeiner B, Giardina AR, et al. Obesity and reduction of the response rate to anti-tumor necrosis factor α in rheumatoid arthritis: an approach to a personalized medicine. Arthritis Care Res (Hoboken). 2013;65(1):94–100.

    CAS  Article  Google Scholar 

  30. 30.

    Iervolino S, Di Minno MN, Peluso R, Lofrano M, Russolillo A, Di Minno G, et al. Predictors of early minimal disease activity in patients with psoriatic arthritis treated with tumor necrosis factor-α blockers. J Rheumatol. 2012;39(3):568–73.

    Article  PubMed  Google Scholar 

  31. 31.

    Klaasen R, Wijbrandts CA, Gerlag DM, Tak PP. Body mass index and clinical response to infliximab in rheumatoid arthritis. Arthritis Rheum. 2011;63(2):359–64.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Westhoff G, Rau R, Zink A. Radiographic joint damage in early rheumatoid arthritis is highly dependent on body mass index. Arthritis Rheum. 2007;56(11):3575–82.

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Ajeganova S, Andersson ML, Hafström I, BARFOT Study Group. Association of obesity with worse disease severity in rheumatoid arthritis as well as with comorbidities: a long-term followup from disease onset. Arthritis Care Res (Hoboken). 2013;65(1):78–87.

    Article  Google Scholar 

  34. 34.

    Rodrigues AM, Reis JE, Santos C, Pereira MP, Loureiro C, Martins F, et al. Obesity is a risk factor for worse treatment response in rheumatoid arthritis patients - results from reuma.pt [abstract A1.1]. Ann Rheum Dis. 2014;73 Suppl 1:A1. doi:10.1136/annrheumdis-2013-205124.1.

    Google Scholar 

  35. 35.

    Glintborg B, Østergaard M, Dreyer L, Krogh NS, Tarp U, Hansen MS, et al. Treatment response, drug survival, and predictors thereof in 764 patients with psoriatic arthritis treated with anti-tumor necrosis factor α therapy: results from the nationwide Danish DANBIO registry. Arthritis Rheum. 2011;63(2):382–90.

    Article  PubMed  Google Scholar 

  36. 36.

    Di Minno MN, Tufano A, Ageno W, Prandoni P, Di Minno G. Identifying high-risk individuals for cardiovascular disease: similarities between venous and arterial thrombosis in perspective. A 2011 update. Intern Emerg Med. 2012;7(1):9–13.

    Article  PubMed  Google Scholar 

  37. 37.

    Jamnitski A, Symmons D, Peters MJ, Sattar N, McInnes I, Nurmohamed MT. Cardiovascular comorbidities in patients with psoriatic arthritis: a systematic review. Ann Rheum Dis. 2013;72(2):211–6.

    Article  PubMed  Google Scholar 

  38. 38.

    Jamnitski A, Visman IM, Peters MJ, Boers M, Dijkmans BA, Nurmohamed MT. Prevalence of cardiovascular diseases in psoriatic arthritis resembles that of rheumatoid arthritis. Ann Rheum Dis. 2011;70(5):875–6.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Han C, Robinson Jr DW, Hackett MV, Paramore LC, Fraeman KH, Bala MV. Cardiovascular disease and risk factors in patients with rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis. J Rheumatol. 2006;33(11):2167–72.

    PubMed  Google Scholar 

  40. 40.

    Gladman DD, Ang M, Su L, Tom BD, Schentag CT, Farewell VT. Cardiovascular morbidity in psoriatic arthritis. Ann Rheum Dis. 2009;68(7):1131–5.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Peters MJ, van Halm VP, Voskuyl AE, Smulders YM, Boers M, Lems WF, et al. Does rheumatoid arthritis equal diabetes mellitus as an independent risk factor for cardiovascular disease? A prospective study. Arthritis Rheum. 2009;61(11):1571–9.

    Article  PubMed  Google Scholar 

  42. 42.

    Innala L, Möller B, Ljung L, Magnusson S, Smedby T, Södergren A, et al. Cardiovascular events in early RA are a result of inflammatory burden and traditional risk factors: a five year prospective study. Arthritis Res Ther. 2011;13(4):R131.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Nothing to report.

Funding

This study was performed within the framework of a project funded by the Italian Ministry of Health titled “Biomarkers of cardiovascular risk and disease activity in patients with psoriatic arthritis: modifications induced by treatment with TNF-α blockers” (GR-2011-02352752).

Availability of supporting data

Yes.

Authors’ contributions

MNDDM conceived of and designed the study, performed the analysis, interpreted the results, and drafted the manuscript. RL and PP performed the literature search, data extraction, and manuscript drafting. PA, AS, RP, and MA performed literature revision and acquired data. All authors read and approved the final manuscript.

Authors’ information

Nothing to report.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Yes.

Ethics approval and consent to participate

Not needed in meta-analysis.

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Author notes

    Affiliations

    1. Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy

      Roberta Lupoli, Paolo Pizzicato, Antonella Scalera, Pasquale Ambrosino & Rosario Peluso

    2. Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy

      Manuela Amato

    3. Division of Cardiology, Department of Advanced Biomedical Sciences, Federico II University, Via Sergio Pansini 5, 80131, Naples, Italy

      Matteo Nicola Dario Di Minno

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    1. Roberta Lupoli
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    2. Paolo Pizzicato
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    5. Manuela Amato
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    Corresponding author

    Correspondence to Matteo Nicola Dario Di Minno.

    Additional file

    Additional file 1:

    Online-only supplemental data (PRISMA flow diagram, publication bias and meta-regression analyses). (DOC 317 kb)

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    Lupoli, R., Pizzicato, P., Scalera, A. et al. Impact of body weight on the achievement of minimal disease activity in patients with rheumatic diseases: a systematic review and meta-analysis. Arthritis Res Ther 18, 297 (2016). https://doi.org/10.1186/s13075-016-1194-8

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    Keywords

    • Psoriatic arthritis
    • Rheumatoid arthritis
    • Obesity

    Arthritis Research & Therapy

    ISSN: 1478-6362

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