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ORIGINAL RESEARCH article

Front. Med., 30 June 2022
Sec. Dermatology
Volume 9 - 2022 | https://doi.org/10.3389/fmed.2022.890195

Prevalence and Predictors of Abdominal Aorta Calcification in Patients With Psoriasis—A Case Control Study

Sofia Ramos1* Sheetal Daya1 Nigel J. Crowther2 Lushen Pillay3 Mohammed Tikly4 Nasrin Goolam Mahyoodeen4
  • 1Department of Diagnostic Radiology, Charlotte Maxeke Johannesburg Academic Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
  • 2Department of Chemical Pathology, National Health Laboratory Services, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
  • 3Department of Dermatology, Faculty of Health Sciences, Helen Joseph Hospital, University of the Witwatersrand, Johannesburg, South Africa
  • 4Department of Internal Medicine, Faculty of Health Sciences, Chris Hani Baragwanath Academic Hospital, University of the Witwatersrand, Johannesburg, South Africa

Background: Psoriasis is associated with a high prevalence of cardiovascular disease in Caucasians, but only a few studies from sub-Saharan Africa have investigated the prevalence of cardiovascular disease in patients with psoriasis. Abdominal aortic calcification (AAC) is a strong predictor of future cardiovascular events and all-cause mortality in the general population. We investigated the prevalence and risk factors for AAC in a predominantly non-Caucasian cohort of South African patients with psoriasis.

Methods: A cross-sectional case-control study of adult psoriasis patients (n = 69) and controls (n = 80), matched for gender, ethnicity and body mass index, attending tertiary Dermatology and Rheumatology clinics in Johannesburg, South Africa. Demographic, anthropometric, clinical and biochemical data were recorded. All participants underwent non-contrast abdominal CT scans. Images were assessed for AAC at the supra-coeliac aorta, supra-mesenteric aorta and aortic bifurcation using Horos DICOM viewer software.

Results: Abdominal aortic calcification at any site was more prevalent in the psoriasis than control group (47.8% vs 22.5%, p < 0.005). The aortic bifurcation was the commonest site for AAC in both groups, but more prevalent in the psoriasis group (42.0% vs 21.3%, p < 0.005). The psoriasis group was also more likely to smoke, have hypertension and type 2 diabetes (56.5% vs 25.0%, p < 0.005; 72.0% vs 55.0%, p < 0.005; 24.6% vs 3.80%, p < 0.0005, respectively). Multivariable logistic regression analysis demonstrated that age, smoking and type 2 (T2DM) diabetes were independently associated with AAC (odds ratio (95% CIs): 1.16 (1.07, 1.20), 4.30 (2.15, 8.61) and 3.45 (1.09, 15.7) respectively), but psoriasis was not. Forward regression analysis demonstrated that smoking attenuated the association of psoriasis with AAC.

Conclusion: Our findings show AAC to be more common in psoriasis patients compared to controls. Age, T2DM and smoking were independent predictors of AAC. Smoking cessation is essential in psoriatic patients to reduce the risk of cardiovascular events. The clinical utility of AAC detection by CT imaging to risk stratify for hard cardiovascular outcomes needs to be explored.

Background

Psoriasis is a chronic immune-mediated inflammatory skin disorder (1) characterized by raised, erythematous plaques with adherent, silvery scales (2). Several studies, in mainly Caucasian populations, have shown an increased prevalence of metabolic syndrome (MetS) and its components, i.e., hypertension, dyslipidaemia, and type 2 diabetes mellitus (T2DM) in psoriasis. Consequently patients with psoriasis have a higher risk of cardiovascular disease compared to the general population (3), similar to that observed in patients with rheumatoid arthritis and T2DM (4). A recent South African study has shown a higher prevalence of the metabolic syndrome and its components in patients with psoriasis compared with controls (5). The increased risk of cardiovascular disease is mediated not only by a higher prevalence of traditional risk factors such as smoking (6), obesity and insulin resistance in psoriasis (3), but also by the systemic pro-inflammatory milieu of the disease (7).

Atherosclerotic plaques are a strong predictor of cardiovascular events (8) in the general population. Cytokine up-regulation, a hallmark of psoriasis, and production of pro-angiogenic factors, accelerates atherosclerosis and plaque formation (9). The severity and extent of atherosclerotic plaques in psoriasis correlates with disease activity and traditional risk factors (10). To date, ultrasonography is the most widely used imaging modality for atherosclerotic plaque formation. The American College of Cardiology and American Heart Association guidelines now recommend computed tomography (CT) based imaging for the assessment of atherosclerotic cardiovascular disease (11). The use of non-contrast enhanced multidetector CT (MDCT) provides highly sensitive and reliable detection of calcified atherosclerosis (12).

Atherosclerosis in the abdominal aorta occurs most frequently at the distal aorta and bifurcation, resulting from turbulent flow in this region (13). Plaque within this region is also associated with the highest probability of symptomatic atherosclerosis at other sites and shows the highest tendency for recurrence (14). To date, there is a paucity of data on the prevalence of AAC in psoriasis, with no data from sub-Saharan Africa. To further compound this, there is very little data regarding psoriasis and cardiometabolic risk factors in sub-Saharan populations, with most of the available literature regarding psoriasis outcomes coming from developed countries (15). Local data has demonstrated a high burden of cardiometabolic disease (CMD), especially amongst those with severe psoriasis (5, 16). There is no data examining the prevalence of atherosclerosis within this specific subset of patients. With this in mind, the present cross-sectional study sought to determine the prevalence and predictors of AAC in adult South African patients with established plaque psoriasis.

Methods

As part of a larger study on psoriasis and CMD, adult psoriasis patients (n = 69) and controls (n = 80) were recruited at tertiary public service Dermatology and Rheumatology clinics in Johannesburg, South Africa. Appropriate ethical clearance was received. Patients were 18 years or older, and had a diagnosis of psoriasis or psoriatic arthritis (PsA), were HIV seronegative and had no other immune-mediated inflammatory diseases (IMIDs). Control participants had no history of any IMIDs, were of a similar socio-geographic background, were matched for gender, ethnicity and body mass index (BMI).

Clinical and laboratory data were obtained by review of case records and a once-off clinical examination and a fasting blood sample. The patient variables included: age, ethnicity (black African, Asian, Caucasian, mixed ancestry), gender, level of education (completing high school or less), smoking status, BMI, blood pressure (mean blood pressure of at least two readings taken 10 minutes apart with the participant seated). Waist circumference was measured at the mid-point of the upper border of the iliac crest and the lower border of the last rib using a soft tape measure.

Laboratory investigations included a fasting glucose and serum lipid profile. Venous blood samples were obtained at the time of clinical examination after an overnight fast. Plasma glucose and serum lipids (total cholesterol, triglycerides and high-density lipoprotein (HDL) cholesterol), were measured using enzymatic methods on the ADVIA 1800 Chemistry Systems Analyser (Siemens Healthcare Diagnostics, Tarrytown, NY, USA). Low-density lipoprotein (LDL) cholesterol was calculated using the Friedewald formula (17).

The MetS was diagnosed according to the 2009 harmonized guidelines (18). In patients without a history of T2DM and hypertension, newly diagnosed T2DM was based on a fasting plasma glucose of >7mmol/l (19) and newly diagnosed hypertension based on the blood pressure criteria within the harmonized guidelines (18). High LDL was defined according to the South African Heart Association and Lipid and Atherosclerosis Society of Southern Africa guidelines (20). More detailed descriptions of the methods used in this study are available in previous publications (5, 21).

Non-contrast abdominal CT imaging was performed at the level of L4/L5, using a Philips 16 slice multidetector CT (Brilliance 16, Philips, Netherlands), with slice thickness of 3 mm (250 mAs and 120kV, FOV 350 mm), within a month of the clinical assessment. Standard resolution (matrix 512 ×512); sharp (C) filter was applied with window range set at 50-350. Subcutaneous and visceral fat volumes, expressed as g/cm3, were calculated from CT image data and by using fat selection technology on Osirix Dicom viewer (Osirix foundation, Geneva Switzerland). For the vascular studies, Horos DICOM Viewer version 3.3.0 (GNU L-GPL, Nimble Co LLC d/b/a Purview in Annapolis, MD USA), a Mac-based image processing application, was used to analyse 149 available CT image stacks for presence and location of calcium in the abdominal aorta. The aortic bifurcation was the primary site for evaluation. The principal investigator (SR) read the images twice to assess intra-observer variability and a second radiologist (SD) performed an independent reading to determine inter-observer variability. Other abdominal aortic segments were also visible in several patient image stacks and were therefore also assessed. The secondary sites were the supra-coeliac aorta and supra-mesenteric aorta.

Statistical Analysis

Student's unpaired t test was used to compare continuous variables between groups, with log transformation of data that was not normally distributed. Categorical variables were compared across groups using the χ2 test. Logistic regression analysis was used to determine the independent predictors of aortic calcification. Thus, study variables that correlated with aortic calcification at p < 0.20 in univariate logistic regression models were included in a multivariable model. Backward, stepwise removal of non-significant variables from the multivariable model was performed until only those with p < 0.05 remained. In the models where psoriasis did not continue through to the final model, forward regression analysis was performed to determine which variable was responsible for attenuating its effect on the outcome variable of calcification. The variables chosen for addition to the forward regression model were any of those included in the initial multivariable model and particularly those that continued through to the final model. All analyses were performed using Statistica version 13.5 (StatSoft, Tulsa, OK, USA).

Results

Most patients were middle-aged with a mean (SD) age of 53.3 (14.5) years and long-standing disease. Mean (SD) disease duration was 18.9 (13.3) years, with an almost equal gender representation (Table 1). Over 60% of patients were either of Asian or mixed ancestry. The prevalence of smoking, MetS, hypertension and T2DM was significantly higher in the psoriasis group compared to the control group (56.5% vs. 25.0%, p < 0.005; 56.5% vs. 37.5%, p < 0.05; 72.5% vs. 55.0%, p < 0.005; 24.6% vs. 3.80%, p < 0.0005, respectively). There were no significant differences in serum lipids or abdominal fat.

TABLE 1
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Table 1. Clinical characteristics of patients and controls.

The aortic bifurcation was the commonest site for AAC in both groups (Table 2) and AAC was more prevalent at all sites in the psoriasis group than the control group (aortic bifurcation 48.5% vs. 23.2%, p < 0.005; supra-coeliac aorta 21.2% vs. 3.8%, p < 0.005; supramesenteric aorta 24.3% vs. 2.3%, p < 0.05). Subgroup analysis revealed no difference in AAC between psoriasis patients with or without psoriatic arthritis.

TABLE 2
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Table 2. Abdominal aortic calcification in psoriasis patients vs. controls.

Table 3 is a summary of predictors for AAC at the aortic bifurcation for the entire cohort of patients and controls. Univariate analysis showed a significantly higher burden of traditional cardiovascular risk factors i.e., smoking history, T2DM, hypertension and metabolic syndrome in males and psoriasis patients. Multivariable logistic regression analysis showed age, smoking and T2DM to be independent predictors of AAC at the aortic bifurcation.

TABLE 3
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Table 3. Predictors of abdominal aortic bifurcation calcification.

While psoriasis was significantly associated with aortic bifurcation calcification in the univariate analysis [OR (95% CI): 3.12 (1.50, 6.51); p = 0.002], it did not remain significant in the multivariable model [0.992 (0.31, 3.15); p = 0.99]. This model was further analyzed using forward regression analysis to determine which independent variable was responsible for attenuating the effect of psoriasis on aortic bifurcation calcification. This showed that smoking was the principal covariate that attenuated the relationship between psoriasis and aortic bifurcation calcification [2.12 (0.93, 4.83); p = 0.07 (for psoriasis); 3.31 (1.92, 5.69); p < 0.0001 (for smoking)].

Discussion

In this case-control, multi-ethnic study of AAC in South African participants, as detected by CT imaging, we found the prevalence of AAC to be especially common at the aortic bifurcation in both the psoriasis and control groups. Psoriasis patients had a significantly higher prevalence of AAC at all three aortic anatomical sites, i.e., aortic bifurcation, supracoeliac and supramesenteric. Most of the risk of AAC was associated with traditional cardiometabolic factors, notably smoking, T2DM and age.

Subclinical atherosclerosis in psoriasis has been well-documented in several non-invasive studies. Ultrasound imaging has consistently shown increased carotid intimal thickening and increased risk of carotid plaques in both psoriasis and PsA (2224). A more recent cross-sectional study of coronary artery calcification (CAC) determined by CT imaging, showed that patients with moderate to severe psoriasis had similar scores to patients with T2DM after adjusting for confounders (25). The increased incidence of atherosclerotic disease is psoriasis, and many autoimmune diseases, is thought to be a result of chronic inflammation which drives endothelial and metabolic dysfunction, and causes lipoprotein aberrations. The psoriatic march concept has increased the focus on molecular and cellular processes responsible for driving inflammation in psoriasis. Psoriasis is now recognized as a T-cell mediated disorder, driven by a pro-inflammatory cascade. The T cell subtypes implicated in the pathogenesis of psoriasis are also found to encourage atherosclerosis (26). Novel research into the anti-aging and anti-inflammatory gene, Sirtuin 1 (SIRT1), has shown decreased levels in patients with MetS, T2DM and psoriasis, further supporting the pro-inflammatory alterations that underly psoriasis (27, 28). SIRT1 downregulation has also been linked to vascular smooth muscle inflammation that contributes to vascular disease processes (29).

Plaques at the distal aorta and bifurcation are associated with the highest probability of symptomatic atherosclerosis at other sites (14). Moreover, numerous studies in the general population from developed countries have shown that AAC is an independent predictor of cardiovascular and all-cause mortality, irrespective of the Framingham risk score (3034). In the prospective US Multi-Ethnic Study of Atherosclerosis, both CAC and AAC independently predicted coronary heart disease, but AAC was the only independent predictor of cardiovascular mortality and a better predictor of all-cause mortality than CAC (34). From a health economics perspective, AAC in a community-based observational study in men was found to predict overall health costs, independent of prevalent clinical cardiovascular disease (35).

In the present study, psoriasis was associated with AAC only in the univariate analysis. The multivariate analysis subsequently demonstrated that the effects of psoriasis on AAC are, in fact, mediated by smoking. Smoking is known to accelerate atherosclerosis through its induction of oxidative stress, which leads to lipid abnormalities, platelet activation, chronic inflammation and endothelial dysfunction (36, 37). It should be noted that a higher prevalence of smoking has been observed in psoriatic patients (38), and smoking is associated with an increased risk for onset of psoriasis (37). Smoking status is also positively associated with the severity of psoriasis and impacts the potential response to treatment (39, 40). A meta-analysis demonstrated that the odds ratio for psoriasis in smokers is 1.78 (95% CI 1.53–2.06) (37). Data from the Nurses' Health Study have similarly shown a 15–20% risk of psoriasis in smokers (41). The relationship between smoking and psoriasis is complex. Data from Chinese studies suggest an interplay between genes related to smoking habits and those responsible for susceptibility to incident psoriasis (42). The oxidative stress caused by smoking, along with free radical generation, is hypothesized to interfere with signal pathways associated with developing psoriasis; these include mitogen-activated protein kinase, nuclear factor kappa B (NF-κB), and JAK-STAT pathways. Nicotine is known to induce cytokine production, specifically increasing levels of tumor necrosis factor (TNF), interleukin-12 (IL-12), interleukin-2 (IL-2), and granulocyte-monocyte colony-stimulating factor, all of which are considered central to the pathophysiology of psoriasis (41). Furthermore, cigarette smoke has been shown to suppress SIRT1 activity, contributing to chronic inflammation in psoriasis patients who already exhibit negative alterations in SIRT1 expression (27, 43, 44).

Psoriasis is associated with additional cardiometabolic diseases such as MetS, and in particular, T2DM (16, 4549) in addition to previously mentioned cardiovascular risk factors, such as smoking (2, 37, 41, 50). This has also been demonstrated within our sub-Saharan demographic of psoriasis patients (5, 16). As discussed, studies demonstrate an association between psoriasis and atherosclerosis (46, 51, 52) with one such study demonstrating increased vascular inflammation in psoriasis using PET/CT imaging (53). There is some contradictory evidence concluding that psoriasis is not associated with atherosclerosis, however, this study comprised psoriasis patients with only mild disease (54). To our knowledge, this is the first study to demonstrate that the heightened risk of AAC in South African psoriasis patients, is explained by smoking. This serves as an important finding as other international studies have similarly shown that the higher risk of stroke and myocardial infarction in psoriasis is due to the high prevalence of other risk factors, rather than psoriasis being the causative agent (21, 5456).

Limitations and Conclusion

The limitations of the present study were the cross-sectional design and small sample size, which did not allow us to examine the relationship of AAC with hard cardiovascular outcomes and mortality in psoriasis. Non-contrast CT imaging may potentially have underestimated the prevalence and extent of AAC as compared to CT imaging with intravenous contrast. Notwithstanding these limitations, the strength of the study is the use of a sensitive, robust and reliable diagnostic method of detecting AAC. The clinical utility of this imaging modality as a predictor of cardiovascular and all-cause mortality requires a larger prospective study. From a bedside perspective, our findings underscore the need to address modifiable risk factors, in particular smoking, to mitigate both the burden of psoriasis and attendant cardiovascular risks. Smoking further compromises response and adherence to treatment, highlighting the importance of advocating for smoking cessation in this population.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The studies involving human participants were reviewed and approved by Human Research Ethics Committee, University of the Witwatersrand. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

SR: conceptualization of study, radiological data interpretation, statistical analysis, and writing of manuscript. SD: conceptualization of study, radiological data interpretation, and review of final manuscript. NC: conceptualization of study, data interpretation, statistical analysis, and writing of manuscript. LP: conceptualization of study and review of final manuscript. NG: conceptualization of study, data acquisition, data interpretation, statistical analysis, and writing of manuscript. MT: conceptualization of study, data interpretation, and writing of manuscript. All authors approved the final manuscript submitted for publication and agree to be accountable for all aspects of the work, ensuring the accuracy, and integrity of the publication.

Funding

This work was supported by grants from the Carnegie Corporation of New York, NY, USA. Grant Number: B 8749.RO1 to NG, the National Research Foundation (Thuthuka to NG), the Astra Zeneca Research Trust (to NG), and the Medical Research Council of South Africa (Self-initiated Research Grant to MT). The funders had no role in the design of the study or the collection, analysis and interpretation of data, writing or approval of the manuscript, and decision to submit the manuscript for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors would like to thank the National Health Laboratory Services and Lancet Laboratories for performing all biochemical tests, the Departments of Diagnostic Radiology at Charlotte Maxeke Johannesburg Academic Hospital and Helen Joseph Hospital for performing all CT scans, as well as all study participants.

Abbreviations

AAC, Abdominal aortic calcification; BMI, Body mass index; CAC, Coronary artery calcification; CI, Confidence interval; CMD, Cardiometabolic disease; CT, Computed tomography; CVD, Cardiovascular disease; HDL, High-density lipoprotein; HIV, Human immunodeficiency virus; IMID, Immune-mediated inflammatory disease; LDL, Low-density lipoprotein; MetS, Metabolic syndrome; OR, Odds ratio; PASI, Psoriasis area and severity index; PsA, Psoriatic arthritis; SD, Standard deviation; SIRT1, Sirtuin 1; T2DM, Type 2 diabetes mellitus.

References

1. Nestle FO. Psoriasis. N Engl J Med. (2009) 361:496–509. doi: 10.1056/NEJMra0804595

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Takeshita J, Grewal S, Langan SM, Mehta NN, Ogdie A, Van Voorhees AS, et al. Psoriasis and comorbid diseases Part I. Epidemiology J Am Acad Dermatol. (2017) 76:377–90. doi: 10.1016/j.jaad.2016.07.064

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Sobchak C, Eder L. Cardiometabolic disorders in psoriatic disease. Curr Rheumatol Rep. (2017) 19:1–8. doi: 10.1007/s11926-017-0692-2

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Johnsson H, McInnes IB, Sattar N. Cardiovascular and metabolic risks in psoriasis and psoriatic arthritis: pragmatic clinical management based on available evidence. Ann Rheum Dis. (2012) 71:480–3. doi: 10.1136/annrheumdis-2011-200567

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Goolam Mahyoodeen N, Crowther NJ, Snyman T, Pillay L, Tikly M. High burden of the metabolic syndrome and its component disorders in South Africans with psoriasis. Int J Dermatol. (2019) 58:557–62. doi: 10.1111/ijd.14348

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Adişen E, Erduran F, Uzun S, Gürer MA. Prevalence of smoking, alcohol consumption and metabolic syndrome in patients with psoriasis. An Bras Dermatol. (2018) 93:205–11. doi: 10.1590/abd1806-4841.20186168

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Boehncke W-H. Epidemiology and potential pathomechanisms of cardiovascular comorbidities in psoriasis: a report from the GRAPPA 2010 Annual Meeting. J Rheumatol. (2012) 39:441–4. doi: 10.3899/jrheum.111245

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Baldassarre D, Veglia F, Hamsten A, Humphries SE, Rauramaa R, De Faire U, et al. Progression of carotid intima-media thickness as predictor of vascular events: Results from the IMPROVE study. Arterioscler Thromb Vasc Biol. (2013) 33:2273–9. doi: 10.1161/ATVBAHA.113.301844

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Reich K. The concept of psoriasis as a systemic inflammation: Implications for disease management. J Eur Acad Dermatol Venereol. (2012) 26:3–11. doi: 10.1111/j.1468-3083.2011.04410.x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Eder L, Jayakar J, Shanmugarajah S, Thavaneswaran A, Pereira D, Chandran V, et al. The burden of carotid artery plaques is higher in patients with psoriatic arthritis compared with those with psoriasis alone. Ann Rheum Dis. (2013) 72:715–20. doi: 10.1136/annrheumdis-2012-201497

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Goff DC, Lloyd-jones DM, Bennett G, Coady S, Agostino RBD, Gibbons R, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk. Circulation. (2014) 129:S49–73. doi: 10.1161/01.cir.0000437741.48606.98

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Baumgart D, Schmermund A, Goerge G, Haude M, Ge J, Adamzik M, et al. Comparison of electron beam computed tomography with intracoronary ultrasound and coronary angiography for detection of coronary atherosclerosis. J Am Coll Cardiol. (1997) 30:57–64. doi: 10.1016/S0735-1097(97)00147-2

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Disthabanchong S, Boongird S. Role of different imaging modalities of vascular calcification in predicting outcomes in chronic kidney disease. World J Nephrol. (2017) 6:86–167. doi: 10.5527/wjn.v6.i3.100

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Debakey ME, Lawrie GM, Glaeser DH. Patterns of atherosclerosis and their surgical significance. Ann Surg. (1985) 201:115–31. doi: 10.1097/00000658-198502000-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Maharaj AB, Chandran V, Elmamoun M, Coates LC. Psoriatic arthritis in developing and resource-poor countries. Lancet Rheumatol. (2020) 2:e200–2. doi: 10.1016/S2665-9913(20)30009-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Mahyoodeen NG, Crowther NJ, Tikly M. Double trouble: psoriasis and cardiometabolic disorders. Cardiovasc J Afr. (2017) 28:1–6. doi: 10.5830/CVJA-2017-055

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. (1972) 18:499–502. doi: 10.1093/clinchem/18.6.499

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International. Circulation. (2009) 120:1640–5. doi: 10.1161/CIRCULATIONAHA.109.192644

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Herman WH, Petersen M, Kalyani RR. Standards of medical care in diabetes-2017. Diabetes Care. (2017) 40:S1–135. doi: 10.2337/dci17-0007

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Klug E, Raal FJ, Marais AD, Smuts CM, Schamroth C, Jankelow D, et al. South African dyslipidaemia guideline consensus statement: 2018 update A joint statement from the South African Heart Association (SA Heart) and the Lipid and Atherosclerosis Society of Southern Africa (LASSA). SAMJ. (2018) 108:975–1000. doi: 10.7196/SAMJ.2018.v108i11.13383

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Goolam Mahyoodeen N, Crowther NJ, Pillay L, Snyman T, Toman M, Daya S, et al. Relationship of visceral fat and adipokines with cardiometabolic diseases in psoriasis. Acta Derm Venereol. (2019) 99:1218–23. doi: 10.2340/00015555-3327

PubMed Abstract | CrossRef Full Text | Google Scholar

22. El-Mongy S, Fathy H, Abdelaziz A, Omran E, George S, Neseem N, et al. Subclinical atherosclerosis in patients with chronic psoriasis: A potential association. J Eur Acad Dermatol Venereol. (2010) 24:661–6. doi: 10.1111/j.1468-3083.2009.03481.x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Di Minno MND, 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) 47:346–53. doi: 10.3109/07853890.2015.1031822

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Evensen K, Slevolden E, Skagen K, Rønning OM, Brunborg C, Krogstad A-L, et al. Increased subclinical atherosclerosis in patients with chronic plaque psoriasis. Atherosclerosis. (2014) 237:499–503. doi: 10.1016/j.atherosclerosis.2014.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Mansouri B, Kivelevitch D, Natarajan B, Joshi AA, Ryan C, Benjegerdes K, et al. Comparison of coronary artery calcium scores between patients with psoriasis and type 2 diabetes. JAMA Dermatol. (2016) 152:1244–53. doi: 10.1001/jamadermatol.2016.2907

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sajja AP, Joshi AA, Teague HL, Dey AK, Mehta NN. Potential immunological links between psoriasis and cardiovascular disease. Front Immunol. (2018) 9:1234. doi: 10.3389/fimmu.2018.01234

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Fan X, Yan K, Meng Q, Sun R, Yang X, Yuan D, et al. Abnormal expression of SIRTs in psoriasis: Decreased expression of SIRT 1-5 and increased expression of SIRT 6 and 7. Int J Mol Med. (2019) 44:157–71. doi: 10.3892/ijmm.2019.4173

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Hwang Y-J, Na J-I, Byun S-Y, Kwon S-H, Yang S-H, Lee H-S, et al. Histone deacetylase 1 and sirtuin 1 expression in psoriatic skin: a comparison between guttate and plaque psoriasis. Life (Basel). 10:157. doi: 10.3390/life10090157

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chen HZ, Wang F, Gao P, Pei JF, Liu Y, Xu TT, et al. Age-associated sirtuin 1 reduction in vascular smooth muscle links vascular senescence and inflammation to abdominal aortic aneurysm. Circ Res. (2016) 119:1076–88. doi: 10.1161/CIRCRESAHA.116.308895

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Allison MA, Hsi S, Wassel CL, Morgan C, Ix JH, Wright CM, et al. Calcified atherosclerosis in different vascular beds and the risk of mortality. Arterioscler Thromb Vasc Biol. (2012) 32:140–6. doi: 10.1161/ATVBAHA.111.235234

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wilson PWF, Kauppila LI, Donnell CJO, Kiel DP, Polak JM, Cupples LA. Abdominal aortic calcific seposits are an important predictor of vascular morbidity and mortality. Circulation. (2001) 103:1529–34. doi: 10.1161/01.CIR.103.11.1529

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Polonsky TS, MacClelland RL, Jorgensen NW, Bild DE, Burke GL, Guerci AD, et al. Coronary artery calcium score and risk classification for coronary heart disease prediction: the multi-ethnic study of atherosclerosis. JAMA. (2010) 303:1610–6. doi: 10.1001/jama.2010.461

PubMed Abstract | CrossRef Full Text | Google Scholar

33. O'Connor SD, Graffy PM, Zea R. Pickhardt PJ. Does nonenhanced CT-based quantification of abdominal aortic calcification outperform the Framingham risk score in predicting cardiovascular events in asymptomatic adults? Radiology. (2018) 00:1–8. doi: 10.1148/radiol.2018180562

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Criqui MH, Denenberg JO, McClelland RL, Allison MA, Ix JH, Guerci AD, et al. Abdominal aortic calcium, coronary artery calcium, and cardiovascular morbidity and mortality in the multi-ethnic study of atherosclerosis. Arter Thromb Vasc Biol. (2014) 34:1574–9. doi: 10.1161/ATVBAHA.114.303268

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Schousboe JT, Vo TN, Langsetmo L, Adabag S, Szulc P, Lewis JR, et al. Abdominal aortic calcification (AAC) and ankle-brachial index (ABI) predict health care costs and utilization in older men, independent of prevalent clinical cardiovascular disease and each other. Atherosclerosis. (2020) 295:31–7. doi: 10.1016/j.atherosclerosis.2020.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Jung JG, Wu LT, Kim JS, Kim E. Du, Yoon SJ. Relationship between smoking and abdominal aorta calcification on computed tomography. Korean J Fam Med. (2019) 40:248–53. doi: 10.4082/kjfm.17.0098

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Armstrong AW, Harskamp CT, Dhillon JS, Armstrong EJ. Psoriasis and smoking: a systematic review and meta-analysis. Br J Dermatol. (2014) 170:304–14. doi: 10.1111/bjd.12670

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Kimball AB, Leonardi C, Stahle M, Gulliver W, Chevrier M, Fakharzadeh S, et al. Demography, baseline disease characteristics and treatment history of patients with psoriasis enrolled in a multicentre, prospective, disease-based registry (PSOLAR). Br J Dermatol. (2014) 171:137–47. doi: 10.1111/bjd.13013

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Fortes C, Mastroeni S, Leffondré K, Sampogna F, Melchi F, Mazzotti E, et al. Relationship between smoking and the clinical severity of psoriasis. Arch Dermatol. (2005) 141:1580–4. doi: 10.1001/archderm.141.12.1580

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Pezzolo E, Naldi L. The relationship between smoking, psoriasis and psoriatic arthritis. Expert Rev Clin Immunol. (2019) 15:41–8. doi: 10.1080/1744666X.2019.1543591

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Naldi L. Psoriasis: Targets and therapy dovepress psoriasis and smoking: links and risks. Psoriasis Targets Ther. (2016) 6:65–71. doi: 10.2147/PTT.S85189

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Yin XY, Cheng H, Wang WJ, Wang WJ, Fu HY, Liu LH, et al. TNIP1/ANXA6 and CSMD1 variants interacting with cigarette smoking, alcohol intake affect risk of psoriasis. J Dermatol Sci. (2013) 70:94–8. doi: 10.1016/j.jdermsci.2013.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Yang S-R, Wright J, Bauter M, Seweryniak K, Kode A, Rahman I, et al. Sirtuin regulates cigarette smoke-induced proinflammatory mediator release via RelA/p65 NF-B in macrophages in vitro and in rat lungs in vivo: implications for chronic inflammation and aging. Am J Physiol Lung Cell Mol Physiol. (2007) 292:567–76. doi: 10.1152/ajplung.00308.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Zhang Y, Huang W, Zheng Z, Wang W, Yuan Y, Hong Q, et al. Cigarette smoke-inactivated SIRT1 promotes autophagy-dependent senescence of alveolar epithelial type 2 cells to induce pulmonary fibrosis. Free Radic Biol Med. (2021) 166:116–27. doi: 10.1016/j.freeradbiomed.2021.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Gisondi P, Fostini AC, Fossà I, Girolomoni G, Targher G. Psoriasis and the metabolic syndrome. Clin Dermatol. (2018) 36:21–8. doi: 10.1016/j.clindermatol.2017.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Mok CC, Ko GTC, Ho LY Yu KL, Chan PT, To CH. Prevalence of atherosclerotic risk factors and the metabolic syndrome in patients with chronic inflammatory arthritis. Arthritis Care Res. (2011) 63:195–202. doi: 10.1002/acr.20363

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Polachek A, Touma Z, Anderson M, Eder L. Risk of cardiovascular morbidity in patients with psoriatic arthritis: A meta-analysis of observational studies. Arthritis Care Res. (2017) 69:67–74. doi: 10.1002/acr.22926

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Benson MM, Frishman WH. The heartbreak of psoriasis a review of cardiovascular risk in patients with psoriasis. Cardiol Rev. (2015) 23:312–6. doi: 10.1097/CRD.0000000000000048

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Gelfand JM, Neimann AL, Shin DB, Wang XM, Margolis DJ, Troxel AB. Risk of myocardial infarction in patients with psoriasis. JAMA. (2006) 296:1735–41. doi: 10.1001/jama.296.14.1735

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Mehta NN, Azfar RS, Shin DB, Neimann AL, Troxel AB, Gelfand JM. Patients with severe psoriasis are at increased risk of cardiovascular mortality: cohort study using the general practice research database. Eur Heart J. (2010) 31:1000–6. doi: 10.1093/eurheartj/ehp567

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Shapiro J, Cohen AD, David M, Hodak E, Chodik G, Viner A, et al. The association between psoriasis, diabetes mellitus, and atherosclerosis in Israel: a case-control study. J Am Acad Dermatol. (2007) 56:629–34. doi: 10.1016/j.jaad.2006.09.017

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Alexandroff AB, Pauriah M, Camp RDR, Lang CC, Struthers AD, Armstrong DJ. More than skin deep: atherosclerosis as a systemic manifestation of psoriasis. Br J Dermatol. (2009) 161:1–7. doi: 10.1111/j.1365-2133.2009.09281.x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Naik HB, Natarajan B, Stansky E, Ahlman MA, Teague H, Salahuddin T, et al. Severity of psoriasis associates with aortic vascular inflammation detected by FDG PET/CT and neutrophil activation in a prospective observational study. Arterioscler Thromb Vasc Biol. (2015) 35:2667–76. doi: 10.1161/ATVBAHA.115.306460

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Dowlatshahi EA, Kavousi M, Nijsten T, Ikram MA, Hofman A, Franco OH, et al. Psoriasis is not associated with atherosclerosis and incident cardiovascular events: the Rotterdam study. J Invest Dermatol. (2013) 133:2347–54. doi: 10.1038/jid.2013.131

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Miller IM, Ellervik C, Yazdanyar S, Jemec GBE. Meta-analysis of psoriasis, cardiovascular disease, and associated risk factors. J Am Acad Dermatol. (2013) 69:1014–24. doi: 10.1016/j.jaad.2013.06.053

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Hu SCS, Lan CCE. Psoriasis and cardiovascular comorbidities: focusing on severe vascular events, cardiovascular risk factors and implications for treatment. Int J Mol Sci. (2017) 18:2211. doi: 10.3390/ijms18102211

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: abdominal aortic calcification (AAC), atherosclerosis, smoking, cardiometabolic syndrome (CMetS), psoriasis

Citation: Ramos S, Daya S, Crowther NJ, Pillay L, Tikly M and Goolam Mahyoodeen N (2022) Prevalence and Predictors of Abdominal Aorta Calcification in Patients With Psoriasis—A Case Control Study. Front. Med. 9:890195. doi: 10.3389/fmed.2022.890195

Received: 14 March 2022; Accepted: 13 June 2022;
Published: 30 June 2022.

Edited by:

Giovanni Damiani, University of Milan, Italy

Reviewed by:

Elena Pezzolo, San Bortolo Hospital, Italy
Ian James Martins, University of Western Australia, Australia

Copyright © 2022 Ramos, Daya, Crowther, Pillay, Tikly and Goolam Mahyoodeen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sofia Ramos, smmramos@live.com

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