Abstract
The objective of this work is to investigate the occurrence of atherosclerosis and metabolic syndrome (MetS) in ankylosing spondylitis (AS) patients (pts). Twenty-four consecutive AS pts (men, 87.5%; median age, 50.5 years; median disease duration, 16.5 years), fulfilling the modified 1984 New York criteria for AS criteria, and 19 age- and sex-matched controls were investigated. Clinical atherosclerosis was evaluated by physical examination for cardiovascular (CV) diseases and history or drug use for CV events. Subclinical atherosclerosis was detected by mean intima media thickness (a-IMT) and maximum IMT (max-IMT) of carotid arteries using ultrasonography. Laboratory investigations including fasting plasma glucose, total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides were assessed by standard methods, while homocysteine was assessed by chemiluminescence. MetS was assessed using the updated NCEP-ATP III criteria. Disease activity was defined according to the International Ankylosing Spondylitis Assessment Study criteria. The 10-year CV risk (%) profile was evaluated in agreement to the Progetto Cuore criteria. No major CV event was detected in the study population. No significant differences were found when AS pts and controls were compared according to the mean a-IMT (0.52±0.26 vs 0.51±0.13 mm), max-IMT (0.92±0.20 vs 0.85±0.39 mm), prevalence of abnormal max-IMT >1 mm (27.2 vs 5.3%), and 10-year CV risk (9.9±9.6 vs 3.6±1.8%). Systolic blood pressure (p=0.04), triglyceride to HDL cholesterol ratio (p=0.002), and LDL cholesterol (p=0.03) were found significantly higher in AS pts than in controls; on the contrary, HDL cholesterol was pointed out as significantly lower (p<0.001). MetS was found in 11/24 (45.8%) AS pts and in 2/19 (10.5%) controls (p=0.019). No significant relationship emerged in MetS prevalence among AS pts regarding the mean value of age, disease duration, Bath Ankylosing Spondylitis Functional Index, Bath Ankylosing Spondylitis Disease Activity Index, and the Italian version of Health Assessment Questionnaire. This preliminary report points out a higher prevalence of MetS in AS pts than in controls. Further studies are needed to confirm this finding.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Ankylosing spondylitis (AS) is an inflammatory disease characterized by arthritis and enthesitis at the spine and peripheral joints [1]. Some studies have suggested increased mortality and morbidity rates among patients with AS when compared to the general population [2–4]. Duration and severity of disease and typical AS cardiovascular (CV) complications (i.e., aortic insufficiency, conduction disturbances, mitral valve disease, cardiomyopathy, and pericarditis) have been implicated as risk factors [5, 6]. As far as we know, a few controversial studies have investigated the prevalence of atherosclerosis and the CV risk profile in these patients [7, 8].
In the last few years, a clear relationship between CV risk factors, obesity, and insulin-resistance allowed to propose the existence of a unique pathophysiological condition called metabolic syndrome (MetS), which was shown to promote an increase of CV mortality risk [9]. Moreover, some studies have pointed out a relationship among some CV risk factors or MetS and inflammation [10, 11].
The aim of this study was to investigate the prevalence of MetS in AS patients and their relationship with atherosclerosis.
Materials and methods
Patients
Twenty-four consecutive AS patients (21 men and 3 women; mean age 47.6±11.8 years), attending the Rheumatology Unit of the Second University of Naples between January 2005 and March 2005, were enrolled in the study, all of whom fulfilled the modified 1984 New York criteria for AS [12] and the European Spondyloarthropathy Study Group criteria for classification of spondylarthropathies [13]. The median disease duration was 16.5 years (range 3–45 years). Psoriasis in two patients and inflammatory bowel disease in two other cases were associated. Fifteen patients were taking sulfasalazine (1–2 g/day), five were taking methotrexate (7.5–10 mg/week), four were on NSAIDs, and three patients were using antihypertensive drugs (ACE inhibitors, beta-blockers, or calcium channel blockers).
Control subjects
The control group included 19 age- and sex-matched patients (16 men and 3 women; mean age 49.6±6.0 years) who had been admitted to the outpatient clinic for either osteoarthritis or soft tissue rheumatism. Eight out of 19 (42.1%) used NSAIDs as required and 3/19 (15.8%) used antihypertensive drugs (ACE inhibitors).
Informed written consent was obtained from all subjects before participation. The study design was approved by local ethical committee.
Methods
Cardiovascular events
We evaluated AS patients and controls by a physical examination for CV disease, health habit questionnaire including history of medical advice, and history or drug use for myocardial infarction, stable or unstable angina, stroke, and hypertension.
Carotid duplex ultrasonography
The mean intima media thickness (a-IMT) and maximum IMT value (max-IMT) were measured with a Philips HDI 1500 and a 7.5- to 10-MHz linear array transducer. Three right and three left far wall values, calculated separately at three carotid artery segments (common carotid, carotid bulb, and internal carotid), were recorded according to Bond et al. [14]. All measurements were performed by the same ultrasonographer, who was unaware of the clinical characteristics of the study population. The max-IMT was considered abnormal when the value was >1 mm [15].
Cardiovascular risk
Each patient and control was evaluated for body mass index (kilogram per square meter), waist circumference (centimeter) measured at the umbilical level, and blood pressure (BP) in the sitting position as mean of two consecutive readings. Fasting blood samples (between 08:00 and 10:00 hours) were taken to determine plasma glucose, total cholesterol, HDL cholesterol, and triglycerides using standard methods. LDL cholesterol was calculated by Friedewald’s formula [16]. Homocysteine was assayed using chemiluminescence analyzer IMx (Abbott Laboratories, Indianapolis, IN). Limits for normal range were provided by manufacturers.
The 10-year CV risk (in percentage) was calculated following the Progetto Cuore criteria (www.cuore.iss.it), i.e., age from 35 to 69 years, sex, smoking history, history of previous CV event, systolic BP, total cholesterol and HDL cholesterol level, occurrence of diabetes mellitus, and use of antihypertensive drugs [17].
Metabolic syndrome
According to the updated Third Report of the National Cholesterol Education Program’s Adult Treatment Panel (NCEP-ATP III) criteria [18], MetS was defined by at least three of the following five features: (1) waist circumference (men ≥102 cm, women ≥88 cm); (2) triglycerides≥150 mg/dl or drug treatment for elevated triglycerides; (3) HDL cholesterol levels (men <40 mg/dl, women <50 mg/dl) or drug treatment for reduced HDL cholesterol; (4) elevated BP (≥130 mmHg systolic BP or ≥85 mmHg diastolic BP or drug treatment for hypertension); and (5) elevated fasting glucose (≥100 mg/dl or drug treatment for hyperglycemia).
Disease activity
According to the International Ankylosing Spondylitis Assessment Study Consensus Statement for the use of antitumor necrosis factor agents in AS, the disease was considered active when the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) was ≥40 mm [19].
Disability
Functional activity was evaluated by Bath Ankylosing Spondylitis Functional Index (BASFI) [20]. Disability was detected by Italian version of Health Assessment Questionnaire (HAQ-DI) [21].
Statistical analysis
Comparisons between groups were performed using two-tailed nonparametric methods. Fisher’s exact test was used for differences between proportions. Spearman’s rho correlation test was used for correlation analysis. The statistical analysis was made by SPSS software, version 10 for PC. Values of p<0.05 were considered significant.
Results
No patients or control subjects suffered from myocardial infarction, stable or unstable angina, and stroke. Physical examination was negative for valve abnormalities.
Table 1 shows the main epidemiological and clinical characteristics of the AS patients.
Table 2 shows the behavior of traditional CV risk factors in AS patients and in controls. Significant differences were found in systolic BP (p=0.04), HDL cholesterol (p<0.001), triglyceride to HDL cholesterol ratio (p=0.002), and LDL cholesterol (p=0.03). None of the four AS patients using NSAIDs suffered from hypertension. No significant difference emerged in the prevalence of smokers and patients who were overweight/obese (BMI ≥25), such as increased mean diastolic BP, mean values of total cholesterol, triglycerides, and homocysteine.
No significant difference was found neither in the a-IMT and max-IMT between AS patients and controls, or in the frequency of abnormal IMT value (max-IMT>1 mm; AS patients: 6/22 cases, 27.2% versus controls: 1/19 cases, 5.3%).
To analyze the relationship among a-IMT, max-IMT, and the other variables investigated, a univariate analysis was performed. Significant Spearman’s rho correlations were only found among max-IMT and age (r s=0.525; p=0.012), systolic BP (r s=0.518; p=0.013), BASFI (r s=0.533; p=0.011), and HAQ-DI (r s=0.448; p=0.037). Nevertheless, controlling for potential confounding factors, as both age and systolic BP, a significant correlation among max-IMT, BASFI, and HAQ-DI was not confirmed.
MetS was found in 11 out of 24 (45.8%) AS patients and in 2 out of 19 (10.5%) controls (p=0.019). Significant differences between two groups emerged in some MetS features, as increased systolic BP (p=0.03), diastolic BP (p=0.04), and reduced HDL cholesterol (p<0.001; see Table 3).
When AS patients were divided according to the occurrence of MetS, a greater number of cases with abnormal waist circumference emerged in the group with MetS (p=0.003), whereas no significant difference was found when an other individual NCEP-ATP III criteria was analyzed.
Concerning the 10-year CV risk (in percentage), a positive trend was calculated in AS patients (9.9±9.6%) than in controls (3.9±1.8%; p>0.05). When AS patients were divided in two subgroups (≤10% 10-year CV risk >10%), no significant difference in MetS prevalence (20.8 vs 25.0%) emerged (p>0.05).
When AS patients with and without MetS were evaluated for the value of age (51.6±8.8 vs 49.5±10.9 years, respectively), disease duration (21.1±2.8 vs 18.8±9.6 mm), BASDAI (30.3±21.7 vs 32.3±26.6 mm), BASFI (45.5±26.4 vs 39.5±27.4 mm), and HAQ-DI (0.9±0.6 vs 1.0±0.8), no significant relationship was pointed out.
Discussion
Over the last years many studies have identified subclinical atherosclerosis and metabolic abnormalities (i.e., lower HDL cholesterol, higher triglycerides, insulin resistance) typical of MetS as a major contributor to the morbidity and mortality of patients with rheumatic diseases such as rheumatoid arthritis (RA) [22] and systemic lupus erythematosus [23]. Concerning AS, subclinical atherosclerosis has not been sufficiently investigated.
Our study did not show any significant difference in IMT values between AS patients and controls, according to the ultrasonographic findings recently reported by Sari et al. [8]. Furthermore, the lack of correlation between max-IMT and disease activity or severity scores led us to suggest that AS may not influence the development of atherosclerosis.
When were investigating the main CV risk factors, we found that AS patients had a significantly higher systolic BP, a lower level of HDL cholesterol, a lower triglyceride to HDL cholesterol ratio, and a higher level of LDL cholesterol than the controls. On the contrary, we were unable to demonstrate any significant difference in other traditional CV risk factors or in the CV 10-year risk rates between AS patients and controls. Nevertheless an influence of less favorable smoking habits in the controls may not be excluded (Table 2).
Few studies investigated the prevalence of conventional CV risk factors in AS. An association between smoking habits and disability [24] has been pointed out, such as a higher BMI in AS patients than in controls [25]. Our data confirmed that the reduction of HDL cholesterol is frequently found in AS patients [25, 26], such as an increased prevalence of systolic or diastolic BP [25, 27] independently by NSAIDs use. In addition, we found no alterations of homocysteine levels in AS patients.
Our results showed that MetS was significantly more frequent in AS patients (46%) than in controls (11%). This prevalence was greater than that registered in Italian adults (25%) [28] or in the general European population (15%) [29]. To our knowledge, this is the first study showing an increased prevalence of MetS in AS patients.
When the single NCEP-ATP III criteria was considered, waist circumference was found out to be significantly greater in AS patients with MetS than in those without, even though did not point out relevant spinal changes (particularly kiphosis) that may significantly have an impact on both waist circumference or BMI measurements. Moreover, a lack of significant relationship in AS patients between MetS occurrence and age or clinical characteristics of the disease (i.e., disease duration, BASDAI, BASFI, HAQ-DI) allows us to hypothesize that other factors would be considered as different nutritional habitus or restricted physical activity.
It is known that MetS increases the relative risk (RR) for CV disease (RR: 1.5–3.0) [30] or the risk for progression to type II diabetes (RR: 5.0) [31] and that the biochemical abnormalities in MetS may participate in the onset and persistence of inflammatory arthritis [32].
Considering that our data showed no significant relationship between MetS occurrence and CV 10-year risk rate, we may hypothesize that MetS criteria as observed in RA [33], are not sufficiently sensitive as traditional CV risk algorithms.
Furthermore, as some epidemiological studies could suggest that CV disease risk in MetS is greater than the sum of its measured risk factors [34, 35], we hypothesize that MetS, defined by the NCEP-ATP III criteria, may be used in AS patients as a preventive tool of CV disease or diabetes mellitus for more intensive intervention.
This study has some limitations. We analyzed a relatively small series of AS patients; thus, a type II error in AS patients considering the trends of abnormal IMT or MetS prevalence in the cases with higher CV risk rates may not be excluded. In addition, we did not investigate the relationship between inflammation and MetS.
In conclusion, our findings showed a greater prevalence of MetS in AS patients than in controls. MetS did not seem to be correlated to the disease, but the role of inflammation may not be excluded. The patients enrolled in the present study are undergoing a prospective evaluation devoted to the detection of the appearance of any CV event and subclinical atherosclerosis.
References
Van Der Linden S, Van Der Hejde D, Braun J (2005) Ankylosing spondylitis. In: Harris ED, Budd RC, Firestein GS, Genovese MC, Sargent JS, Ruddy S, Sledge CB (eds) Kelly’s textbook of rheumatology, 7th edn. Saunders, Philadelphia, PA, pp 1125–1141
Kaprove RE, Little AH, Graham DC, Rosen PS (1980) Ankylosing spondylitis survival in men with and without radiotherapy. Arthritis Rheum 23:57–61
Smith PG, Doll R (1982) Mortality among patients with ankylosing spondylitis after single treatment course with X-rays. BMJ 13:449–460
Lehtinen K (1993) Mortality and causes of death in 398 patients admitted to hospital with ankylosing spondylitis. Ann Rheum Dis 52:174–176
O’Neill TW, Bresnihan B (1992) The heart in ankylosing spondylitis. Ann Rheum Dis 51:705–706
O’Neill TW, King G, Graham IM, Molony J, Bresnihan B (1992) Echocardiographic abnormalities in ankylosing spondylitis. Ann Rheum Dis 51:652–654
Peters MJ, van der Horst-Bruinsma IE, Dijkmans BA, Nurmohamed MT (2004) Cardiovascular risk profile of patients with spondylarthropathies, particularly ankylosing spondylitis and psoriatic arthritis. Semin Arthritis Rheum 34:585–592
Sari I, Okan T, Akan S, Cece H, Altay C, Secil M et al (2006) Impaired endothelial function in patients with ankylosing spondylitis. Rheumatology 45:283–286
Kahn R, Buse J, Ferrannini E, Stern M (2005) The metabolic syndrome: time for a critical appraisal. Diabetes Care 28:2289–2304
Rutter MK, Meigs JB, Sullivan LM, D’Agostino RB Sr, Wilson PW (2004) C-reactive protein, the metabolic syndrome and prediction of cardiovascular events in the Framingham Offsprings Study. Circulation 110:380–385
Ridker MK, Wilson PW, Grundy SM (2004) Should C-reactive protein be added to metabolic syndrome and to assessment of global cardiovascular risk? Circulation 109:2818–2825
Van Der Linden S, Valkenburg HA, Cats A (1984) Evaluation of diagnostic criteria for ankylosing spondylitis: a proposal for modification of the New York criteria. Arthritis Rheum 27:361–368
Dougados M, Van Der Linden S, Juhlin R, Huitfeldt T, Amor B, Calin A et al (1991) The European Spondyloarthropathy Study Group preliminary criteria for the classification of spondyloarthropathy. Arthritis Rheum 34:1218–1227
Bond MG, Barnes RW, Wiley WA, Wilmoth SK, Chambless LE, Howard G et al (1991) High-resolution B-mode ultrasound reading methods in the Atherosclerosis Risk in Communities (ARIC) cohort. The ARIC Study Group. J Neuroimaging 1:68–73
Howard G, Sharrett R, Heiss G, Evans GW, Chambless LE, Riley WA et al (1993) Carotid artery intima-media thickness distribution in general populations as evaluated by B-mode ultrasound. Stroke 24:297–304
Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma without use of the preparative ultracentrifuge. Clin Chem 18:499–502
Giampaoli S, Palmieri L, Chiodini P, Ferrario M, Panico S, Pilotto L et al (2004) La carta del rischio cardiovascolare globale. Ital Heart J 5(Suppl 3):177–185
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA et al (2005) Diagnosis and management of the metabolic syndrome. An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Executive summary. Circulation 112:e285–e290
Braun J, Pharm T, Sieper J, Davis J, Van Der Linden SJ, Dougados M et al (2003) International ASAS consensus statement for the use of anti-tumor necrosis agents in patients with ankylosing spondylitis. Ann Rheum Dis 62:817–824
Calin A, Garrett S, Whitelock H, Kennedy LG, O’Hea J, Malorie P et al (1994) A new approach to defining functional ability in ankylosing spondylitis: the development of the Bath Ankylosing Spondylitis Functional Index. J Rheumatol 21:2281–2285
Ranza R, Marchesoni A, Calori G, Bianchi G, Braga M, Canazza S et al (1993) The Italian version of the functional disability index of the health assessment questionnaire. A reliable instrument for multicenter studies on rheumatoid arthritis. Clin Exp Rheumatol 11:123–128
Dessein PH, Stanwix AE, Joffe BI (2002) Cardiovascular risk in rheumatoid arthritis versus osteoarthritis: acute phase response related decreased insulin sensitivity and high-density lipoprotein cholesterol as well as clustering of metabolic syndrome features in rheumatoid arthritis. Arthritis Res 4:R5
Magadmi ME, Ahmad Y, Turkie W, Yates AP, Sheikh N, Bernstein RM et al (2006) Hyperinsulinemia, insulin resistance, and circulating oxidized low density lipoprotein in women with systemic lupus erythematosus. J Rheumatol 33:50–56
Doran MF, Brophy S, Mackay K, Taylor G, Calin A (2003) Prediction of long term outcome in ankylosing spondylitis. J Rheumatol 30:316–320
Divecha H, Sattar N, Rumley A, Cherry L, Loe GD, Sturrock R (2005) Cardiovascular risk parameters in men with ankylosing spondylitis in comparison with non-inflammatory control subjects: relevance of systemic inflammation. Clin Sci (Lond) 109:171–176
Joven J, Rubies-Prat J, Ras MR, de la Figuera M, Lience E, Masdeu S (1984) High density lipoproteins cholesterol subfractions and apoprotein A-I in patients with rheumatoid arthritis and ankylosing spondylitis. Arthritis Rheum 27:1199–2000
Alves MG, Espirito-Santo J, Queiroz MV, Madeira H, Maciera-Coelho E (1988) Cardiac alterations in ankylosing spondylitis. Angiology 39:67–571
Magi L, Stramenga C, Morosini P (2005) Prevalence of the metabolic syndrome among Italian adults. Findings from the SIMAP study. Recenti Prog Med 96:280–283
Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K (2004) Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in non diabetic European men and women. Arch Intern Med 164:1066–1076
Malik S, Wong ND, Franklin SS, Kamath TV, L’italein GJ, Pio JR et al (2004) Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation 110:1245–1250
Lorenzo C, Okoloise M, Williams K, Stern MP, Hafner SM (2003) The metabolic syndrome as predictor of type 2 diabetes: the San Antonio heart study. Diabetes Care 26:3153–3156
Dessein PH, Joffe BI, Stanwix A, Botha AS, Moomal Z (2002) The acute phase response does not fully predict the presence of insulin resistance and dyslipidemia in inflammatory arthritis. J Rheumatol 29:462–466
Dessein PH, Joffe BI, Stanwix AE (2005) Should we evaluate insulin sensitivity in the rheumatoid arthritis? Semin Arthritis Rheum 35:5–7
Stamler J, Stamler R, Neaton JD (1993) Blood pressure, systolic and diastolic and cardiovascular risks. U.S. population data. Arch Intern Med 153:598–615
Kannel WB, Larson M (1993) Long-term epidemiologic prediction of coronary disease. The Framingham experience. Cardiology 82:137–152
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Malesci, D., Niglio, A., Mennillo, G.A. et al. High prevalence of metabolic syndrome in patients with ankylosing spondylitis. Clin Rheumatol 26, 710–714 (2007). https://doi.org/10.1007/s10067-006-0380-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10067-006-0380-5