Literature DB >> 23208415

The association between psoriasis and obesity: a systematic review and meta-analysis of observational studies.

A W Armstrong1, C T Harskamp, E J Armstrong.   

Abstract

OBJECTIVE: Psoriasis is an inflammatory skin disease affecting 2-4% of the world population. The objective of this study was to perform a systematic review and meta-analysis synthesizing the epidemiological associations between psoriasis and obesity. DATA SOURCES: We searched for observational studies from MEDLINE, EMBASE and Cochrane Central Register from 1 January 1980 to 1 January 2012. We applied the Meta-Analysis of Observational Studies in Epidemiology guidelines in the conduct of this study. STUDY SELECTION: We identified 16 observational studies with a total of 2.1 million study participants (201 831 psoriasis patients) fulfilling the inclusion criteria.
RESULTS: Using random-effects meta-analysis, the pooled odds ratio (OR) for obesity among patients with psoriasis was 1.66 (95% confidence interval (CI) 1.46-1.89) compared with those without psoriasis. From the studies that reported psoriasis severity, the pooled OR for obesity among patients with mild psoriasis was 1.46 (95% CI 1.17-1.82) and the pooled OR for patients with severe psoriasis was 2.23 (95% CI 1.63-3.05). One incidence study found that psoriasis patients have a hazard ratio of 1.18 (95% CI 1.14-1.23) for new-onset obesity.
CONCLUSIONS: Overall, compared with the general population, psoriasis patients have higher prevalence and incidence of obesity. Patients with severe psoriasis have greater odds of obesity than those with mild psoriasis.

Entities:  

Year:  2012        PMID: 23208415      PMCID: PMC3542430          DOI: 10.1038/nutd.2012.26

Source DB:  PubMed          Journal:  Nutr Diabetes        ISSN: 2044-4052            Impact factor:   5.097


Introduction

Psoriasis is a common inflammatory skin disease that affects 2–4% of the world population.[1] Patients with psoriasis present with erythematous, scaly patches and plaques that can affect any part of their body.[2] The impact of psoriasis on patients' quality of life is similar to that for patients living with insulin-dependent diabetes, depression and angina.[3] Increasing epidemiological evidence suggests that patients with psoriasis may be more obese compared with the general population. Although the exact mechanism underlying the epidemiological association between psoriasis and obesity is uncertain, researchers have theorized that adipocyte elaboration of pro-inflammatory cytokines may exacerbate psoriasis.[4, 5, 6, 7] Understanding the epidemiological relationship between psoriasis and obesity is also important for delineating risk factors for other comorbid diseases that may result from obesity. For example, obesity is a risk factor for cardiovascular diseases, type II diabetes mellitus, obstructive sleep apnea and osteoarthritis.[8] Better understanding the strength of the relationship between psoriasis and obesity will therefore help ensure that future observational studies include adequate adjustment for the presence of comorbid obesity among patients with psoriasis. In this systematic review and meta-analysis of observational studies, we synthesized the current literature on the association between psoriasis and obesity based on epidemiological studies from around the world.[9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]

Materials and methods

We searched MEDLINE, EMBASE and Cochrane Central Register using the following search criteria: ‘Psoriasis' [Mesh] AND ((‘Obesity'[Mesh]) OR (‘Body Mass Index'[Mesh])). Our search was limited to English language, human subject studies published from 1 January 1980 to 1 January 2012. Furthermore, we manually searched the reference sections of retrieved articles for any additional studies that were not included in the initial search. To be eligible for inclusion in the systematic review, the original studies needed to fulfill the following criteria: case–control, cross-sectional, cohort or nested case–control design; evaluation of obesity in conjunction with psoriasis; and analyses that compared psoriasis patients with control groups. Specifically, the studies must have evaluated the prevalence or incidence of obesity as defined by physical examination, patient self-report, medical chart review or medical billing codes. Whenever body mass index (BMI) was available, we included studies that defined obesity as a BMI⩾30 kg m−2. A total of 130 articles were retrieved from the initial search, and 8 additional studies were found from review of the reference sections (Figure 1). After manually reviewing all abstracts, 77 full-text articles were further examined. In all, 15 of these studies were excluded because they were reviews; 1 was a duplicate study; 5 assessed only psoriatic arthritis patients; 7 did not include a non-psoriasis control group; 8 were letters, commentaries or editorials without original data; and 25 did not report measures of association between psoriasis and obesity. After these exclusions, 16 publications were included in the meta-analysis. For the purposes of meta-analysis, one publication[18] was treated as two studies, because two separate control populations were used in that publication.
Figure 1

Selection process for study inclusion in the meta-analysis.

Two reviewers (CTH and AWA) independently extracted the data and performed the systematic review, and any disagreements were adjudicated by consensus. The Meta-Analysis of Observational Studies in Epidemiology guidelines were used to guide analysis.[25] For each study included, we recorded the study year, country in which the study population lived, setting in which the study took place, study design, numbers of case and control subjects, age, gender, whether the results were adjusted for comorbidities, data collection processes (prospective or retrospective), whether the results were a primary or secondary analysis of the publication and whether psoriasis disease severity was assessed. To measure study quality, we used a previously validated six-point scale, with values of 0 or 1 assigned to study design, assessment of exposure, assessment of outcome, control for confounding, evidence of bias and assessment of psoriasis severity.[26] Studies with a score of 0–3 were categorized as lower quality, whereas studies with scores of 4–6 were categorized as higher quality.[26] The majority of studies were case–control in design and reported adjusted odds ratios (ORs). Studies that reported prevalence (n=15) were analyzed using meta-analysis, whereas the one study that reported incidence[15] was summarized. To estimate the pooled OR, we initially used both fixed-effects and random-effects models of DerSimonian and Laird.[27] For each study of prevalence, the crude ORs were identified based on the publication. In cases where multivariate adjustment was reported, the effect size and reported upper and lower bounds of the 95% confidence interval (CI) were log-transformed. The inverse variance method was then used to calculate the pooled OR. Study heterogeneity was assessed using the I2 statistic. Owing to significant study heterogeneity, reported pooled ORs are based on random-effects modeling. Publication bias was assessed using visual inspection of a funnel plot of the study size vs s.e., with formal statistical testing using the Begg adjusted rank correlation test.[28, 29] To explore sources of study heterogeneity, we performed meta-regression using prespecified variables and random-effects meta-analysis. Prespecified sources of heterogeneity included study country, subject location (ambulatory or inpatient), multivariate adjustment for confounders, prospective vs retrospective study design, ascertainment of prevalence vs incidence, primary vs secondary analysis, ascertainment of psoriasis disease severity, measure of outcome and study quality (0–3 vs 4–6). All analyses were performed using STATA Version 11.2 (STATA Corp., College Station, TX, USA). No funding sources supported this work. All authors have read and agree to the manuscript as written.

Results

We identified 16 observational studies with a total of 2.1 million study participants fulfilling our inclusion criteria. Among them, 201 831 patients had psoriasis (Table 1). Fifteen of these studies reported prevalence among patients with psoriasis, whereas only one study[15] assessed the incidence of obesity among patients with preexisting psoriasis. Obesity was defined in most studies as a BMI⩾30, but a few studies used only medical diagnostic codes for obesity. Many of these studies assessed obesity as a secondary outcome in conjunction with prevalence of metabolic syndrome, but most studies adjusted for obesity independently.
Table 1

Study population characteristics: psoriasis and obesity

StudyStudy settingStudy designTotal number of patients
Mean age
   ControlPsoriasisControlPsoriasis
aNaldi et al.[17]Italy; outpatient (dermatology departments)Retrospective case–control690560Median age of 36Median age of 38
aHerron et al.[14]USA; outpatient (dermatology clinics)Prospective cross-sectional408055745.749.8
aNeimann et al.[18]UK; outpatient (GPRD)Prospective case–controlMild Ps: 465 252 Severe Ps: 14 065 Combined: 479 317Mild Ps: 127 706 Severe Ps: 3 854 Combined: 131 560Mild Ps:45.7 Severe Ps: 46.3Mild Ps: 46.4 Severe Ps: 49.8
Cohen et al.[11]Israel; outpatient (CHS database)Retrospective case–control66433404747.7
aKaye et al.[15]UK; outpatient (GPRD)Prospective nested case–control: incidence of obesity219 78444 164Not reportedNot reported
Cohen et al.[12]Israel; outpatient (CHS database)Retrospective case–control48 67716 8505142.7
Xiao et al.[23]China; outpatient (medical records)Retrospective cross-sectional1521309243.6Mild Ps: 43.6 Severe Ps: 46.3
aDriessen et al.[13]Netherlands; outpatient (clinic database)Retrospective cross-sectional39610751.248.5
Takahashi et al.[21]Japan; outpatient (dermatology clinic)Retrospective case–control15415157.253.1
aSchmitt et al.[19]Germany; outpatient (GKV-database Saxony)Retrospective case–control3147314757.157.1
aAugustin et al.[10]Germany; outpatient (health insurance database)Retrospective cross-sectional1 310 09033 981Not reportedNot reported
aAl-Mutairi et al.[9]Kuwait; outpatient (medical records)Retrospective case–control1835183552.752.3
aWarnecke et al.[22]Germany; inpatients and outpatients (dermatology department)Retrospective case–control10010051.951.8
aZhang et al.[24]China; outpatient (dermatology clinic)Retrospective cross-sectional1166445236.736.5
aShapiro et al.[20]Israel; inpatient (dermatology department)Retrospective case–control1079107968.768.6
Langan et al.[16]UK; outpatient (THIN database)Retrospective case–control40 6504065Not reportedNot reported

Abbreviation: CHS, Clalit Health Services; GPRD, General Practice Research Database; THIN, The Health Improvement Network.

Denotes that obesity was the primary study outcome.

All studies reported measures of association between psoriasis and obesity; the studies that found a statistically significant association after controlling for other covariates reported adjusted ORs ranging from 1.03 to 1.9 (Table 2). Meta-analysis revealed significant between-study heterogeneity (I2=98%). Using random-effects meta-analysis to account for between-study heterogeneity, the pooled OR for obesity among patients with psoriasis was 1.66 (95% CI 1.46–1.89, Figure 2).
Table 2

Study outcomes: psoriasis and obesity

StudyStudy periodOutcome ascertainmentObesity in control patients (BMI in kg m−2)Obesity in psoriasis patients (BMI in kg m−2)Measure of association (95% CI)
aNaldi et al.[17]1988–1997Interview/clinical examinationBMI⩾30: n=57 (8.3%)BMI⩾30: n=71 (12.9%)BMI⩾30: AOR 1.9 (1.2–2.8)
aHerron et al.[14]Not reportedQuestionnaireMean BMI of 26.2 (s.d. 5.1) Median BMI of 25.7Mean BMI of 29.1 (s.d. 7.3) Median BMI of 27.8OR 2.39 (1.98–2.90)
aNeimann et al.[18]1987–2002OXMIS/ReadBMI>30: Mild Ps: n=36 117 (13.1%) Severe Ps: n=1 093 (13.0%)BMI>30: Mild Ps: n=13 404 (15.8%) Severe Ps: n=545 (20.7%)BMI>30: Mild Ps: OR 1.29 (1.26–1.32) Mild Ps: AOR 1.27 (1.24–1.31) Severe Ps: OR 1.84 (1.60–2.11) Severe Ps: AOR 1.79 (1.55–2.05)
Cohen et al.[11]Not reportedDiagnosis in databaseObesity: n=1 561 (23.5%)Obesity: n=100 (29.4%)OR 1.4 (1.1–1.7) AOR 1.3 (1.0–1.7)
aKaye et al.[15]1991–2005OXMIS/ReadBMI⩾30: n=11 996 (5.5%)BMI⩾30: n=2 760 (6.3%)BMI⩾30: HR 1.18 (1.14–1.23)
Cohen et al.[12]Not reportedDiagnosis of obesity in databaseObesity: n=1 768 (3.6%)Obesity: n=1 419 (8.4%)OR 2.4 (2.3–2.6) AOR 1.7 (1.5–1.9)
Xiao et al.[23]1999–2007Medical code consistent with obesityObesity: n=183 (12.03)Obesity: Mild Ps: n=227 (14.02%) Severe Ps: n=296 (20.10%)Mild Ps: OR 1.41 (1.08–1.85) Mild Ps: AOR 1.42 (1.06–1.91) Severe Ps: OR 1.51 (1.15–1.98) Severe Ps: AOR 1.52 (1.13–2.04)
aDriessen et al.[13]Not reportedManual chart review; BMI⩾30Mean BMI of 24.9 (s.d. not reported)Mean BMI of 28.5 (s.d. not reported)BMI⩾30: OR 5.49 (3.09–9.74)
Takahashi et al.[21]2006–2008Manual chart reviewObesity: n=36 (22.7%)Obesity: n=60 (39.7%)OR 2.24 (1.36–3.69)
aSchmitt et al.[19]2003–2004ICD-10Obesity: n=329 (10.5%)Obesity: n=490 (15.6%)OR 1.58 (1.36–1.83) AOR 1.63 (1.39–1.90)
aAugustin et al.[10]2005ICD-10Obesity: n=136 118 (10.4%)Obesity: n=6 055 (17.8%)PR 1.72 (1.68–1.76)
aAl-Mutairi et al.[9]2003–2007Manual chart reviewBMI>30: n=195 (17%)BMI>30: Mild Ps: n=372 (32.5%) Severe Ps: n=49 (41%)BMI>30: Mild Ps: OR 2.36 (1.93–2.87) Severe Ps: OR 3.42 (2.30–5.10)
aWarnecke et al.[22]2009–2010Questionnaire/clinical assessmentBMI>30: n=33 (33%) Mean BMI of 27.7 (s.d. 5.6)BMI>30: n=44 (44%) Mean BMI of 30.1 (s.d. 7.7)AOR 1.03 (0.97–1.09)
aZhang et al.[24]1997–2009Clinical assessmentBMI⩾30: n=30 (2.6%); Mean BMI of 22.86 (s.d. 3.37)BMI⩾30: n=179 (4.0%); Mean BMI of 23.29 (s.d. 3.25)BMI⩾30: OR 1.68 (1.13–2.49)
aShapiro et al.[20]1993–2006ICD-9Obesity: n=94 (8.7%)Obesity: n=143 (13.3%)OR 1.60 (1.22–2.11) AOR 1.32 (0.99–1.76)
Langan et al.[16]Not reportedRead codes (THIN database)BMI 30–35: n=7 678 (20.5%) BMI>35: n=4 907 (13.1%)BMI 30–35: n=887 (23.5%) BMI>35: n=662 (17.5%)BMI>30: OR 1.38 (1.29–1.48) AOR 1.25 (1.16–1.34)

Abbreviations: AOR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; HR, hazard ratio; ICD, International Classification of Disease; OXMIS, Read, Oxford Medical Information System and Read diagnostic codes; PR: prevalence ratio; THIN, The Health Improvement Network database.

Denotes that obesity was the primary study outcome.

Figure 2

Meta-analysis of the prevalence of obesity in the psoriasis patients.

Visual inspection of a funnel plot revealed possible publication bias, but formal testing with the Egger test did not reveal any definite publication bias (P=0.1). Meta-regression was also performed using prespecified variables to assess possible sources of study heterogeneity (Table 3). Studies that performed multivariate adjustment reported a significantly lower strength of association between psoriasis and prevalence of obesity (OR 1.41, 95% CI 1.26–1.58 for studies with adjusted OR vs OR 2.32, 95% CI 1.79–3.01 for studies with unadjusted OR, P=0.004 for comparison).
Table 3

Potential prespecified sources of heterogeneity explored among the studies reporting an association between psoriasis and obesity

Prespecified source of heterogeneityNumber of estimatesStratified fixed-effects meta-analysis OR (95% CI)Meta-regression P-value for heterogeneity
Study location  0.78
 USA12.39 (1.98–2.90) 
 Europe81.56 (1.31–1.86) 
 Other71.69 (1.39–2.06) 
    
Source population  0.09
 Inpatient21.12 (0.89–1.41) 
 Outpatient141.75 (1.54–1.99) 
    
Statistical adjustment  0.004
 Not adjusted62.32 (1.79–3.01) 
 Adjusted101.41 (1.26–1.58) 
    
Study quality  0.13
 Lower (0–3)62.19 (1.70–2.81) 
 Higher (4–6)111.48 (1.30–1.68) 
    
Outcome ascertainment  0.86
 Billing data11.72 (1.68–1.76) 
 Chart review111.66 (1.44–1.91) 
 Examination41.66 (0.97–2.83) 
    
Analysis of outcome  0.42
 Primary111.75 (1.49–2.06) 
 Secondary51.48 (1.24–1.77) 
    
Severity of psoriasis  0.55
 No distinction101.62 (1.32–1.97) 
 Mild vs severe61.74 (1.43–2.12) 

Abbreviations: CI, confidence interval; OR, odds ratio.

Four studies reported the relative association of mild psoriasis with obesity (Figure 3).[9, 16, 18, 23] The pooled OR for obesity among patients with mild psoriasis was 1.46 (95% CI 1.17–1.82). Five studies reported the relative association of moderate-to-severe psoriasis with obesity (Figure 4), with a pooled OR of 2.23 (95% CI 1.63–3.05).[9, 13, 16, 18, 23]
Figure 3

Meta-analysis of the prevalence of obesity in patients with mild psoriasis.

Figure 4

Meta-analysis of the prevalence of obesity in patients with severe psoriasis.

Although obesity likely predates the diagnosis of psoriasis in most cases, one study examined obesity incidence over time among patients with psoriasis. This study was conducted using the General Practice Research Database, a UK-based cohort of patients treated in general medical practices. Among a cohort of 44 164 patients with psoriasis, 2760 patients (6.3%) had a new diagnosis of obesity during follow-up. When compared with a matched cohort without psoriasis, those with psoriasis had a hazard ratio of 1.18 (95% CI 1.14–1.23)[15] for new-onset obesity.

Discussion

This systematic review and meta-analysis showed that the current literature supports an association between psoriasis and obesity. Specifically, compared with the general population, psoriasis patients are at significantly increased odds of obesity. Our meta-analysis of the cross-sectional and case–control studies showed that psoriasis patients have >50% increased odds of being obese compared with the general population. Where psoriasis severity data were available, the pooled OR for those with moderate-to-severe psoriasis was also significantly higher than that for patients with mild psoriasis. Although the precise mechanism underlying the association between psoriasis and obesity is unknown, several lines of basic and translational research suggest that adipocytes and inflammatory-type macrophages may contribute to both disease processes. Adipose tissue is an active endocrine organ that has a key role in lipid and glucose metabolism, inflammation and coagulation, and insulin-mediated processes.[30, 31] Macrophages are the key immune cell type that perpetuates inflammation within adipose tissue. Activated macrophages in adipose tissue stimulate adipocytes to secrete inflammatory mediators that establish and maintain an inflammatory state in obesity. Adipose tissue, especially visceral adipose tissue, then secretes bioactive products collectively known as adipocytokines or adipokines. The co-existence of psoriasis and obesity is at least in part attributed to the function of adipokines and their downstream effects. The role of the various adipokines in psoriasis is an area of active investigation. For example, leptin is an adipokine that serves as an afferent signal of the nutritional and fat mass status to the hypothalamus and thereby regulates appetite and body weight.[32] Hyperleptinemia has been associated with increased intima-media thickness of the common carotid artery and with arterial thrombosis.[33, 34] Studies in psoriasis have shown that leptin levels are elevated in psoriasis patients[6, 35, 36, 37] compared with healthy controls, and psoriasis is an independent risk factor for hyperleptinemia.[35] Although an increase in pro-inflammatory adipokines is seen in psoriasis, a decrease in regulatory adipokines is also observed in psoriasis. For example, an inverse relationship exists between obesity and adiponectin, a cytokine that has an anti-inflammatory and regulatory role in atherosclerosis.[38] In psoriasis, the adiponectin level was decreased in psoriasis patients compared with healthy controls.[4] Furthermore, adiponectin level in psoriasis patients was inversely correlated with psoriasis severity and tumor necrosis factor-α levels.[36] Although obesity likely predates or co-exists with psoriasis, one study examined new-onset obesity in patients with existing psoriasis.[15] The authors found a slightly increased risk for developing obesity in psoriasis patients compared with controls. It is possible that some psoriasis patients are reluctant to engage in physical activities where their skin disease may be visible to others. Thus, in addition to genetic and immune-mediated mechanisms, behavioral factors may have an additional role in explaining the association between psoriasis and obesity. Although a few studies suggest that the use of tumor necrosis factor antagonists may be associated with weight gain in psoriasis patients,[39, 40, 41, 42, 43] larger studies are necessary to elucidate the effect of systemic medications on obesity. This is one potential rationale for the stronger association between obesity and severe psoriasis. Alternative explanations might include a more active systemic inflammatory disease leading to greater alterations in adipocyte function, dysregulated metabolism and concomitant development of obesity and severe psoriasis. This systematic review and meta-analysis must be interpreted in the context of the available primary studies. The methods for identifying psoriasis and obesity differed among the studies; while some studies used diagnostic codes to identify obesity, others used BMI measurements. Psoriasis severity was assessed in a minority of studies. The variations in the study findings were likely attributable to the differences in study design, patient population, and ascertainment of predictors and outcomes. Despite the potential heterogeneity among the studies, the directionality of the association between psoriasis and obesity is nearly uniform among the studies, and the overall finding from the meta-analysis is strongly supportive of the association between psoriasis and obesity. In summary, this systematic review and meta-analysis revealed that psoriasis patients have >50% odds for obesity compared with those without psoriasis. Patients with more severe psoriasis are at higher odds of obesity compared with those with mild psoriasis. In patients with preexisting psoriasis, their likelihood of developing new-onset obesity is higher than those without psoriasis. Clinical recommendations to reduce weight in obese patients with psoriasis may have beneficial effects in both obesity-associated comorbidities and possibly their psoriasis severity. Future studies are necessary to elucidate the mechanisms underlying the association between obesity and psoriasis and to determine the impact of systemic medications used for psoriasis indications on modifying obesity.
  43 in total

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Authors:  M W Schwartz; S C Woods; D Porte; R J Seeley; D G Baskin
Journal:  Nature       Date:  2000-04-06       Impact factor: 49.962

2.  Circulating adipokine levels in Portuguese patients with psoriasis vulgaris according to body mass index, severity and therapy.

Authors:  S Coimbra; H Oliveira; F Reis; L Belo; S Rocha; A Quintanilha; A Figueiredo; F Teixeira; E Castro; P Rocha-Pereira; A Santos-Silva
Journal:  J Eur Acad Dermatol Venereol       Date:  2010-12       Impact factor: 6.166

3.  Psoriasis and cardiovascular risk factors: a case-control study on inpatients comparing psoriasis to dermatitis.

Authors:  Jonathan Shapiro; Arnon David Cohen; Dahlia Weitzman; Roy Tal; Michael David
Journal:  J Am Acad Dermatol       Date:  2011-07-13       Impact factor: 11.527

4.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

5.  Prospective assessment of body weight and body composition changes in patients with psoriasis receiving anti-TNF-α treatment.

Authors:  Laura D I Renzo; Rosita Saraceno; Caterina Schipani; Mariagiovanna Rizzo; Alessia Bianchi; Annalisa Noce; Maria Esposito; Sergio Tiberti; Sergio Chimenti; Antonino DE Lorenzo
Journal:  Dermatol Ther       Date:  2011 Jul-Aug       Impact factor: 2.851

6.  Effect of leptin on arterial thrombosis following vascular injury in mice.

Authors:  Peter F Bodary; Randal J Westrick; Kevin J Wickenheiser; Yuechen Shen; Daniel T Eitzman
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

7.  Psoriasis independently associated with hyperleptinemia contributing to metabolic syndrome.

Authors:  Yi-Ju Chen; Chun-Ying Wu; Jui-Lung Shen; Szu-Ying Chu; Chih-Kang Chen; Yun-Ting Chang; Chuan-Mu Chen
Journal:  Arch Dermatol       Date:  2008-12

8.  Psoriasis is independently associated with psychiatric morbidity and adverse cardiovascular risk factors, but not with cardiovascular events in a population-based sample.

Authors:  J Schmitt; D E Ford
Journal:  J Eur Acad Dermatol Venereol       Date:  2009-12-10       Impact factor: 6.166

9.  Comparison of body weight and clinical-parameter changes following the treatment of plaque psoriasis with biological therapies.

Authors:  F Prignano; F Ricceri; L Pescitelli; G Buggiani; M Troiano; F Zanieri; S Rossari; T Lotti
Journal:  Curr Med Res Opin       Date:  2009-09       Impact factor: 2.580

10.  Cardiovascular risk factors in high-need psoriasis patients and its implications for biological therapies.

Authors:  Rieke J B Driessen; Jan B Boezeman; Peter C M Van De Kerkhof; Elke M G J De Jong
Journal:  J Dermatolog Treat       Date:  2009       Impact factor: 3.359

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Journal:  Nat Metab       Date:  2021-04-15

Review 2.  In the Real World: Infections Associated with Biologic and Small Molecule Therapies in Psoriatic Arthritis and Psoriasis.

Authors:  Sarah A R Siegel; Kevin L Winthrop
Journal:  Curr Rheumatol Rep       Date:  2019-06-06       Impact factor: 4.592

Review 3.  Non-alcoholic fatty liver disease and psoriasis: So far, so near.

Authors:  Giulia Ganzetti; Anna Campanati; Annamaria Offidani
Journal:  World J Hepatol       Date:  2015-03-27

4.  Improved prediction of HIT in the SICU using an improved model of the Warkentin 4-T system: 3-T.

Authors:  Matthew B Bloom; Jeffrey Johnson; Oksana Volod; Ernest Y Lee; Terris White; Daniel R Margulies
Journal:  Am J Surg       Date:  2019-07-29       Impact factor: 2.565

5.  The Role of the Skin and Gut Microbiome in Psoriatic Disease.

Authors:  Di Yan; Naiem Issa; Ladan Afifi; Caleb Jeon; Hsin Wen Chang; Wilson Liao
Journal:  Curr Dermatol Rep       Date:  2017-04-22

6.  American academy of dermatology and american college of cardiology.

Authors:  Walter Alexander
Journal:  P T       Date:  2014-05

7.  Coronary Plaque Characterization in Psoriasis Reveals High-Risk Features That Improve After Treatment in a Prospective Observational Study.

Authors:  Joseph B Lerman; Aditya A Joshi; Abhishek Chaturvedi; Tsion M Aberra; Amit K Dey; Justin A Rodante; Taufiq Salahuddin; Jonathan H Chung; Anshuma Rana; Heather L Teague; Jashin J Wu; Martin P Playford; Benjamin A Lockshin; Marcus Y Chen; Veit Sandfort; David A Bluemke; Nehal N Mehta
Journal:  Circulation       Date:  2017-05-08       Impact factor: 29.690

8.  Association of Smoking and Obesity on the Risk of Developing Primary Sjögren Syndrome: A Population-based Cohort Study.

Authors:  Luisa Servioli; Gabriel Maciel; Carlotta Nannini; Cynthia S Crowson; Eric L Matteson; Divi Cornec; Alvise Berti
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9.  Association Between Skin and Aortic Vascular Inflammation in Patients With Psoriasis: A Case-Cohort Study Using Positron Emission Tomography/Computed Tomography.

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