A systematic review of diagnostic criteria for psoriasis in adults and children: evidence from studies with a primary aim to develop or validate diagnostic criteria

Diagnostic Test Accuracy of Genetic Tests in Diagnosing Psoriasis: A Systematic Review

The pathogenesis of psoriasis involves the interaction of several environmental and genetic factors. Predicting the disease risk cannot depend on individual genetic alleles. Consequently, some studies have evaluated the use of genetic risk scores that combine several psoriasis susceptibility loci to increase the accuracy of predicting/diagnosing the disease. This meta-analysis summarizes the evidence regarding using genetic risk scores (GRS) in the diagnosis or prediction of psoriasis. A search of MEDLINE/PubMed, the Latin American Caribbean Health Sciences Literature (LILACS) database, Cochrane Library, Scopus, Web of Science, and ProQuest was conducted in July 2022. The primary objective was to record the area under the curve (AUC) for GRS of psoriasis. Secondary objectives included characteristics of studies and patients. The risk of bias (ROB) was assessed using the PROBAST tool. Five studies fulfilled the eligibility criteria of this review. None of the studies described the clinical criteria (reference standard) that were employed to diagnose psoriasis. The AUCs of the 11 GRS models ranged from 0.6029-0.8583 (median: 0.75). Marked heterogeneity was detected (Cochran Q: 1250.051, p < 0.001, and I² index: 99.2%). So, pooling of the results of the included studies was not performed. The ROB was high for all studies and clinical application was not described. Genetic risk scores are promising tools for the prediction of psoriasis with fair to good accuracy. However, further research is required to identify the most accurate combination of loci and to validate the scores in variable ethnicities.

Serum Intestinal Metabolites are Raised in Patients with Psoriasis and Metabolic Syndrome

Purpose

Psoriasis is an immune-mediated chronic inflammatory disease. Metabolic syndrome (MetS) is characterized by central obesity, hypertension, dyslipidemia, diabetes and insulin resistance (IR). Increasing evidence indicates that psoriasis is associated with MetS. This study aimed to explore some metabolite indexes which could evaluate the severity or predict the risk of psoriasis patients associated with MetS.

Patients and methods

It was a case-control study conducted in Beijing Hospital of Traditional Chinese Medicine. Sixty healthy volunteers (HC), 100 patients with psoriasis (Ps), 100 patients with MetS (MetS) and 80 patients with both psoriasis and MetS (Ps+MetS) were entered between January 2016 and December 2018. Blood samples were taken after at least 12 hours fasting and the contents of trimethylamine N-oxide (TMAO), carnitine, choline and betaine in serum were measured by Liquid Chromatography Mass Spectrometry (LC-MS/MS). Besides, the serum levels of low-density lipoprotein (LDL), high-density lipoprotein (HDL), cholesterol (CHO), triglyceride (TG), blood glucose (BG), creatinine (Cr), urea nitrogen (BUN), uric acid (UA) were determined.

Results

The non-healthy groups had different degrees of dyslipidemia, Ps-MetS> Ps >MetS. Compared with HC, the Ps had a higher level of TG; The MetS had the lowest level of HDL; The Ps+Mets had the highest level of TG and CHO. The Ps and Ps+MetS both had high level of UA, but there was no difference between the two groups. As for intestinal metabolites, the Ps had significant differences in TMAO, carnitine, and betaine in comparison with HC. The MetS had the highest level of TMAO. There was positive correlation between PASI and TMAO and betaine.

Conclusions

TMAO and betaine could serve as indexes reflecting the severity of psoriasis. TG, CHO, LDL and UA could serve as risk factors of MetS in psoriatic patients.

Identifying the best predictive diagnostic criteria for psoriasis in children (< 18 years): a UK multicentre case-control diagnostic accuracy study (DIPSOC study)

BACKGROUND

In children, psoriasis can be challenging to diagnose. Difficulties arise from differences in the clinical presentation compared with adults.

OBJECTIVES

To test the diagnostic accuracy of previously agreed consensus criteria and to develop a shortlist of the best predictive diagnostic criteria for childhood psoriasis.

METHODS

A case-control diagnostic accuracy study in 12 UK dermatology departments (2017-2019) assessed 18 clinical criteria using blinded trained investigators. Children (< 18 years) with dermatologist-diagnosed psoriasis (cases, N = 170) or a different scaly inflammatory rash (controls, N = 160) were recruited. The best predictive criteria were identified using backward logistic regression, and internal validation was conducted using bootstrapping.

RESULTS

The sensitivity of the consensus-agreed criteria and consensus scoring algorithm was 84·6%, the specificity was 65·1% and the area under the curve (AUC) was 0·75. The seven diagnostic criteria that performed best were: (i) scale and erythema in the scalp involving the hairline, (ii) scaly erythema inside the external auditory meatus, (iii) persistent well-demarcated erythematous rash anywhere on the body, (iv) persistent erythema in the umbilicus, (v) scaly erythematous plaques on the extensor surfaces of the elbows and/or knees, (vi) well-demarcated erythematous rash in the napkin area involving the crural fold and (vii) family history of psoriasis. The sensitivity of the best predictive model was 76·8%, with specificity 72·7% and AUC 0·84. The c-statistic optimism-adjusted shrinkage factor was 0·012.

CONCLUSIONS

This study provides examination- and history-based data on the clinical features of psoriasis in children and proposes seven diagnostic criteria with good discriminatory ability in secondary-care patients. External validation is now needed.

Can atopic eczema and psoriasis coexist? A systematic review and meta-analysis

Importance

Previous studies report both coexistence and mutual exclusivity of atopic eczema (AE) and psoriasis, but these have not been appraised systematically. Knowledge of such disease association throws light on disease mechanisms and may influence therapeutic choices.

Objective

To summarise evidence for AE and psoriasis occurring in the same person at the same point in time. Planned primary outcome was the incidence, prevalence or risk of psoriasis or eczema.

Methods

Ovid MEDLINE and Ovid Embase were searched from inception to 1st February 2020. The search strategy was built around the key terms ‘atopic eczema’, ‘psoriasis’ and ‘co‐existence’. Observational studies (cohort, case‐control, cross‐sectional and case‐series) with a minimum of 10 consecutive patients were included. There were no restrictions on participants, geography or language. Studies were selected, data extracted and critically appraised by two independent reviewers. Data were extracted on the method of diagnosis: health professional (dermatologist, criteria, other), self‐reported, not specified. Study quality was assessed using validated Joanna Brigg's Institute critical appraisal tools. A random‐effects model was used to combine studies. The effect of study quality on the pooled estimate was investigated using stratification. Heterogeneity was explored by subgroup analysis.

Results

This review included 31 studies and 20 523 individuals with psoriasis and 1 405 911 with AE. Eight studies reported the prevalence of AE in those with psoriasis and values ranged from 0.17% to 20%: the pooled prevalence was 2% (95% confidence interval [CI]: 1, 3). Seven studies reported the prevalence of psoriasis in those with AE and values ranged from 0.3% to 12.6%; the pooled prevalence was 2% (95% CI: 1, 3). Ten studies were assessed as low risk of bias. Geographical area, method of diagnosis, setting and whether the assessment of diagnosis was blinded, partly contributed to the heterogeneity.

Conclusions

This review provides some evidence for the coexistence of AE and psoriasis. Clinicians should be aware of coexistence at diagnosis, when selecting therapies and when reviewing poor response to treatment.

The study of dry eye and meibomian glands in psoriasis

BACKGROUND

To investigate aqueous and lipid layers of the tear film as well as meibomian gland structure by meibography in psoriatic patients in the Iranian population.

METHODS

This case-control study was conducted on 31 psoriasis patients and 31 controls in Birjand University of Medical Sciences in 2018. The sampling method was available from the date of approval of the proposal in the Ethics Committee until it reached the sample size. After entering the study, patients were examined individually with a slit lamp. Then, Ocular Surface Disease Index (OSDI) score assessment, Schirmer test 1, lacrimal measurement with SM tube, tear break-up time (TBUT), and meibomian glands imaging by SBM Sistemi were done. Finally, the obtained data were entered into SPSS 15 software and analyzed at a significant level of less than 0.05.

RESULTS

The two groups were matched according to age and gender (p = 0.39 and p = 0.80; respectively). With the exception of the SM Tube score, the mean of all tear film and meibomian glands functional and structural parameters including Schirmer test 1, TBUT, and meibography were significantly different between patients and control groups. Moreover, the proportion of abnormal OSDI (OSDI ⩾ 13) and the dry eye was significantly higher in psoriasis patients.

CONCLUSIONS

Psoriasis is associated with dry eye as well as meibomian glands atrophy and dysfunction.

Novel use of Autoinflammatory Diseases Activity Index (AIDAI) captures skin and extracutaneous features to help manage pediatric DITRA: A case report and a proposal for a modified disease activity index in autoinflammatory keratinization disorders

Generalized pustular psoriasis (GPP) is a severe form of psoriasis, which is rare in pediatric and adult patients. It is characterized by sterile pustular lesions that appear on erythematous skin, associated with systemic features. A recent identification of mutations in the IL36RN gene in some GPP patients has led to a diagnosis of new autoinflammatory disease, interleukin-36-receptor antagonist deficiency (DITRA). DITRA represents an emerging group of autoinflammatory diseases with hyperkeratotic skin involvement, called autoinflammatory keratinization diseases (AIKD). DITRA diagnosis and management are challenging as neither DITRA-specific clinical assessment tools nor treatment trials exist. Autoinflammatory Diseases Activity Index (AIDAI) is a validated tool originally developed to evaluate disease activity and treatment response in other inherited autoinflammatory diseases with systemic and skin involvement. We report the first use of AIDAI in a pediatric DITRA patient with the following goals: (a) to describe the contribution of AIDAI to our patient's management; (b) to identify potential limitations of AIDAI in DITRA; (c) to review literature for current psoriasis assessment tools; and (d) to propose a preliminary DITRA/AIKD disease activity index (DITRA/AIDAI) to be validated in future studies.

Clinical characteristics including cardiovascular and metabolic risk factors in adolescents with psoriasis

BACKGROUND

Clinical studies on psoriasis in adolescents have mainly been performed in patients with severe psoriasis. Population-based studies of clinical characteristics and risk factors for later cardiovascular and metabolic disease in children and adolescents are lacking.

OBJECTIVES

To examine the clinical characteristics of adolescents with psoriasis nested in a general population cohort. Furthermore, to investigate cardiovascular and metabolic risk factors in the adolescents with psoriasis compared to parentally predisposed and non-predisposed adolescents without psoriasis from the same birth cohort.

METHODS

We identified adolescents with and without psoriasis using a nationwide general population birth cohort in Denmark. A clinical examination included skin inspection and scoring of psoriasis severity, completion of a questionnaire on psoriasis and comorbidities, physical measurements, and blood sampling. Participants also completed self-administered questionnaires on quality of life and mental health.

RESULTS

We included 81 adolescents with psoriasis and 234 controls (110 with genetic predisposition for psoriasis and 124 without predisposition). Median age was 15.6 (13.5-18.5) years, and in those with active psoriasis, median Psoriasis Area and Severity Index score was 1.2 (0.1-11.4). The scalp was the most common site of psoriasis, both at debut and at time of examination. Diaper rash in infancy was more frequent in the psoriasis group. No significant differences regarding quality of life, anxiety and depression were found. More adolescents with psoriasis were obese (8.6% vs. 1.7%, P = 0.008), and physical measures of abdominal obesity were also significantly higher. HbA1c was significantly higher (31.55 vs. 30.81 mmol/mol, P = 0.048), while no differences were found for blood pressure, lipids or high-sensitivity C-reactive protein. In a subgroup analysis, this was evident in the non-predisposed psoriasis-free controls only.

CONCLUSIONS

Overall, adolescents with psoriasis from this general population had mild disease. Still, early markers of cardiovascular and metabolic disease were elevated.

Identifying and Characterizing Psoriasis and Psoriatic Arthritis Patients in Ontario Administrative Data: A Population-based Study From 1991 to 2015

Objectives.

We assessed the accuracy of case definition algorithms for psoriasis and psoriatic arthritis (PsA) in health administrative data and used primary care electronic medical records (EMR) to describe disease and treatment characteristics of these patients.

Methods.

We randomly sampled 30,424 adult Ontario residents from the Electronic Medical Record Primary Care database and identified 2215 patients with any possible psoriatic disease–related terms in their EMR. The relevant patient records were chart abstracted to confirm diagnoses of psoriasis or PsA. This validation set was then linked to health administrative data to assess the performance of different algorithms for physician billing diagnosis codes, hospitalization diagnosis codes, and medications for psoriatic disease. We report the performance of selected case definition algorithms and describe the disease characteristics of the validation set.

Results.

Our reference standard identified 1028 patients with psoriasis and 77 patients with PsA, for an overall prevalence of 3.4% for psoriasis and 0.3% for PsA. Most patients with PsA (66%) had a rheumatology-confirmed diagnosis, while only 30% of the patients with psoriasis had dermatology-confirmed diagnosis. The use of systemic medications was much more common with PsA than with psoriasis. All algorithms had excellent specificity (97–100%). The sensitivity and positive predictive value were moderate and varied between different algorithms (34–72%).

Conclusion.

The accuracy of case definition algorithms for psoriasis and PsA varies widely. However, selected algorithms produced population prevalence estimates that were within the expected ranges, suggesting that they may be useful for future research purposes.

Cohort profile: the clinical 'Psoriasis in Adolescents' (PIA) cohort in Denmark

PURPOSE

Psoriasis is a chronic inflammatory skin disease that frequently debuts in childhood and adolescence. We wished to determine environmental and genetic risk factors for the development of psoriasis in children and adolescents, as well as to investigate debut type, trigger factors, course of disease, nature and influence of stress related to both child and family and risk factors for comorbidity. The 'Psoriasis in Adolescents' (PIA) cohort will provide data on the relationship between psoriasis and, respectively, genetic disposition, early-life exposures, quality of life and comorbidity.

PARTICIPANTS

The PIA cohort is nested in the large general population Danish National Birth Cohort (DNBC). We invited 390 adolescents with psoriasis and corresponding maternally predisposed and non-predisposed controls. Participants underwent an interview and a clinical examination consisting of a skin inspection and physical measurements including blood sampling and microbiological swabs. Additionally, four self-administered questionnaires on physical and mental health were completed.

FINDINGS TO DATE

The final PIA cohort consists of 81 adolescents with psoriasis, 110 parentally predisposed and 124 non-predisposed psoriasis-free adolescents. The validity of the maternally reported psoriasis status from the DNBC was found to be low on clinical examination (47.5%). In contrast, the self-reported psoriasis status of the DNBC mothers was clinically confirmed in 80.8% of the cases.

FUTURE PLANS

The PIA cohort offers the possibility of assessing the clinical characteristics, course of psoriasis and development of comorbidities in adolescents with clinically confirmed disease from a general population. Comparison with predisposed and non-predisposed controls is possible and genetic analyses are scheduled. We plan to invite the participants for a follow-up in 5-10 years. Furthermore, we plan to include newly diagnosed adolescents with psoriasis from the 18-year DNBC follow-up. All information is linkable on the individual level with data from the DNBC and nationwide registries in Denmark.

Protocol for a case-control diagnostic accuracy study to develop diagnostic criteria for psoriasis in children (DIPSOC study): a multicentre study recruiting in UK paediatric dermatology clinics

INTRODUCTION

Diagnosing psoriasis in children can be challenging. Early and accurate diagnosis is important to ensure patients receive psoriasis specific treatment and monitoring. It is recognised that the physical, psychological, quality of life, financial and comorbid burden of psoriasis are significant. The aim of this study is to develop clinical examination and history-based diagnostic criteria for psoriasis in children to help differentiate psoriasis from other scaly inflammatory rashes. The criteria tested in this study were developed through a consensus study with a group of international psoriasis experts (International Psoriasis Council).

METHODS AND ANALYSIS

Children and young people (<18 years) with psoriasis (cases) and other scaly inflammatory skin diseases (controls) diagnosed by a dermatologist are eligible for recruitment. All participants complete a single research visit including a diagnostic criteria assessment by a trained investigator blinded to the participant's diagnosis. The reference standard of a dermatologist's diagnosis is extracted from the medical record. Sensitivity and specificity of the consensus derived diagnostic criteria will be calculated and the best predictive criteria developed using multivariate logistic regression.

ETHICS AND DISSEMINATION

Health Regulatory Authority and National Health Service Research Ethics Committee approvals were granted in February 2017 (REC Ref: 17/EM/0035). Dissemination will be guided by stakeholders; patients, children and young people, dermatologists, primary care and paediatric rheumatologists. The aim is to publish the study results in a high-quality peer-reviewed journal, present the findings at international academic meetings and disseminate more widely through social media and working with patient associations.

TRIAL REGISTRATION NUMBER

ISRCTN98851260.

Accuracy of self-reported history of autoimmune disease: A pilot study

Research associating the increased prevalence of familial autoimmunity with neuropsychiatric disorders is reliant upon the ascertainment of history of autoimmune diseases from relatives. To characterize the accuracy of self-report, we compared self-reported diagnoses of 18 autoimmune diseases using an online self-report questionnaire to the electronic medical record (EMR) diagnoses in 1,013 adult (age 18–70 years) patients of a primary care clinic. For the 11 diseases meeting our threshold observed prevalence, we estimated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for self-reported diagnoses under the assumption that EMR-based diagnoses were accurate. Six diseases out of 11 had either sensitivity or PPV below 50%, with the lowest PPV for dermatological and endocrinological diseases. Common errors included incorrectly self-reporting type 2 diabetes mellitus (DM), when type 1 DM was indicated by the EMR, and reporting rheumatoid arthritis when osteoarthritis was indicated by the EMR. Results suggest that ascertainment of familial autoimmunity through self-report contributes to inconsistencies and inaccuracies in studies of autoimmune disease history and that future studies would benefit from incorporating EMR review and biological measures.