Risk of psoriasis in patients with childhood asthma: a Danish nationwide cohort study

Association between psoriasis and asthma: a systematic review and bidirectional meta-analysis

BACKGROUND

The risk of asthma in patients with psoriasis has been identified in previous studies, but the bidirectional association between the two has not been fully explored.

METHODS

We thoroughly searched PubMed, Embase, and the Cochrane Library to find relevant observational studies published from the inception of these databases to October 2023. All the risk and bias assessments were analyzed by STATA 16.0. Where the heterogeneity was less than 50%, the fixed effect model was utilized. While where the level of heterogeneity was more than 50%, the random effect model was applied. Moreover, to identify publication bias, a visual funnel chart, and Egger's test were applied.

RESULTS

A total of 12,396,911 participants from 16 studies, published between 2011 and 2023 were included in this meta-analysis. We found that psoriasis patients had a higher risk of developing asthma (OR = 1.48, 95%CI 1.28-1.68). Meanwhile, asthma patients also had a higher overall risk of developing psoriasis (OR = 1.33, 95%CI 1.23-1.44). In the subgroup analysis, we found that the type of study, age, and severity of the psoriasis were significant factors in the survey of asthma risk in psoriasis patients.

CONCLUSIONS

In the present systematic review and meta-analysis, we found a bidirectional association between psoriasis and asthma with significantly increased risk. As a result, clinicians should make patients aware of the connection between the two, particularly adolescents or patients with moderate to severe psoriasis who need to be informed about the rising likelihood of developing asthma.

TRIAL REGISTRATION

Registration number CRD42023390111 .

Multimorbidity in middle-aged women and COVID-19: binary data clustering for unsupervised binning of rare multimorbidity features and predictive modeling

BACKGROUND

Multimorbidity is typically associated with deficient health-related quality of life in mid-life, and the likelihood of developing multimorbidity in women is elevated. We address the issue of data sparsity in non-prevalent features by clustering the binary data of various rare medical conditions in a cohort of middle-aged women. This study aims to enhance understanding of how multimorbidity affects COVID-19 severity by clustering rare medical conditions and combining them with prevalent features for predictive modeling. The insights gained can guide the development of targeted interventions and improved management strategies for individuals with multiple health conditions.

METHODS

The study focuses on a cohort of 4477 female patients, (aged 45-60) in Piedmont, Italy, and utilizes their multimorbidity data prior to the COVID-19 pandemic from their medical history from 2015 to 2019. The COVID-19 severity is determined by the hospitalization status of the patients from February to May 2020. Each patient profile in the dataset is depicted as a binary vector, where each feature denotes the presence or absence of a specific multimorbidity condition. By clustering the sparse medical data, newly engineered features are generated as a bin of features, and they are combined with the prevalent features for COVID-19 severity predictive modeling.

RESULTS

From sparse data consisting of 174 input features, we have created a low-dimensional feature matrix of 17 features. Machine Learning algorithms are applied to the reduced sparsity-free data to predict the Covid-19 hospital admission outcome. The performance obtained for the corresponding models are as follows: Logistic Regression (accuracy 0.72, AUC 0.77, F1-score 0.69), Linear Discriminant Analysis (accuracy 0.7, AUC 0.77, F1-score 0.67), and Ada Boost (accuracy 0.7, AUC 0.77, F1-score 0.68).

CONCLUSION

Mapping higher-dimensional data to a low-dimensional space can result in information loss, but reducing sparsity can be beneficial for Machine Learning modeling due to improved predictive ability. In this study, we addressed the issue of data sparsity in electronic health records and created a model that incorporates both prevalent and rare medical conditions, leading to more accurate and effective predictive modeling. The identification of complex associations between multimorbidity and the severity of COVID-19 highlights potential areas of focus for future research, including long COVID and intervention efforts.

Increased risk of atrial fibrillation in patients with psoriasis: A meta-analysis of observational studies

BACKGROUND

Several epidemiological studies have shown that psoriasis increases the risk of developing atrial fibrillation but evidence of this is still scarce.

AIMS

Our objective was to systematically review, synthesise and critique the epidemiological studies that provided information about the relationship between psoriasis and atrial fibrillation risk.

METHODS

We searched through PubMed, EMBASE and the bibliographies for articles published between 1 January 2000, and 1 November 2017, that reported on the association between psoriasis and atrial fibrillation. All abstracts, full-text articles and sources were reviewed with duplicate data excluded. Summary relative risks (RRs) with 95% CI were pooled using a random effects model.

RESULTS

We identified 252 articles, of these eight unique abstracts underwent full-text review. We finally selected six out of these eight studies comprising 11,187 atrial fibrillation patients. The overall pooled relative risk (RR) of atrial fibrillation was 1.39 (95% CI: 1.257-1.523, P < 0.0001) with significant heterogeneity (I2 = 80.316, Q = 45.723, τ2 = 0.017, P < 0.0001) for the random effects model. In subgroup analysis, the greater risk was found in studies from North America, RR 1.482 (95% CI: 1.119-1.964, P < 0.05), whereas a moderate risk was observed in studies from Europe RR 1.43 (95% CI: 1.269-1.628, P < 0.0001).

LIMITATIONS

We were only able to include six studies with 11,178 atrial fibrillation patients, because only a few such studies have been published.

CONCLUSION

Our results showed that psoriasis is significantly associated with an increased risk of developing atrial fibrillation. Therefore, physicians should monitor patient's physical condition on a timely basis.

Chronic Inflammation as the Underlying Mechanism of the Development of Lung Diseases in Psoriasis: A Systematic Review

Psoriasis is a systemic inflammatory disease caused by dysfunctional interactions between the innate and adaptive immune responses. The systemic inflammation in psoriasis may be associated with the development of comorbidities, including lung diseases. In this review, we aimed to provide a summary of the evidence regarding the prevalence of lung diseases in patients with psoriasis and the potential underlying mechanisms. Twenty-three articles published between March 2010 and June 2021 were selected from 195 initially identified records. The findings are discussed in terms of the prevalence of asthma, chronic obstructive pulmonary disease, interstitial lung disease, obstructive sleep apnea, pulmonary hypertension, and sarcoidosis in psoriasis. A higher prevalence of lung diseases in psoriasis has been confirmed in asthma, chronic obstructive pulmonary disease, obstructive sleep apnea, and pulmonary hypertension. These conditions are important as they are previously unrecognized causes of morbidity and mortality in psoriasis. The development of lung diseases in patients with psoriasis can be explained by several mechanisms, including common risk factors, shared immune and molecular characteristics associated with chronic inflammation, as well as other mechanisms. Understanding the prevalence of lung diseases in psoriasis and their underlying mechanisms can help implement appropriate preventative and therapeutic strategies to address respiratory diseases in patients with psoriasis.

The Risk of Psoriasis in Patients With Allergic Diseases: A Nationwide Population-based Cohort Study

The spectrum of allergic diseases includes atopic dermatitis (AD), allergic rhinitis (AR), and asthma. To date, the association between allergic diseases and psoriasis has not yet been completely evaluated. This study was conducted to determine the risk of psoriasis in patients with allergic diseases. A health screening database, a sub-dataset of the Korean National Health Insurance Service database, was used. All 9,718,722 subjects who underwent health examination in 2009 at age over 20 were included. Subjects with allergic diseases including AD (n = 35,685), AR (n = 1,362,713), asthma (n = 279,451) and control subjects without all three allergic diseases (n = 8,210,042), without AD (n = 9,683,037), without AR (n = 8,356,009) and without asthma group (n = 9,439,271) were analyzed. The subjects were tracked using their medical records during the 8-year period from 2010 to 2017 to identify those who developed psoriasis. Multivariate Cox regression models were used to assess the risk of psoriasis. The incidence probability of psoriasis was analyzed through the Kaplan–Meier method. The incidence of psoriasis per 1,000 person-years was 9.57, 3.78, and 4.28 in the AD, AR, and asthma groups, respectively. The AD group exhibited a significantly increased risk of developing psoriasis compared to subjects without AD (hazard ratio [HR], 3.18; 95% confidence interval [95% CI], 3.05–3.31; P < 0.001) after adjustment for confounding factors. The risk of psoriasis was significantly increased in the AR group compared to subjects without AR (HR, 1.32; 95% CI, 1.31–1.34; P < 0.001) and asthma group compared to subjects without asthma (HR, 1.30; 95% CI, 1.27–1.33; P < 0.001). Allergic diseases, particularly AD, may be a risk factor for psoriasis.

Increased risk of psoriasis in children and elderly patients with asthma: a longitudinal follow-up study using a national sample cohort

BACKGROUND

Several previous studies reported the elevated risk of asthma in children with psoriasis. This study aimed to extend previous research regarding the risk of psoriasis in children with asthma to an entire population subdivided by age.

METHODS

The 2002-2013 Korean Health Insurance Review and Assessment Service-National Sample Cohort (HIRA-NSC) was used. The 167,693 participants with asthma were matched with 167,693 control participants for age, sex, income, region of residence, hypertension history, diabetes history, and dyslipidemia history. In both the asthma and control groups, the occurrences of asthma were investigated. The crude and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for psoriasis with respect to asthma status were determined using stratified Cox proportional hazards models. Subgroup analyses were conducted according to age and sex.

RESULTS

The prevalence of psoriasis was 0.5% (95% CI, 0.4% to 0.5%; n = 771/167,693) in the asthma group and 0.4% (95% CI, 0.3% to 0.4%; n = 589/167,693) in the control group (p < 0.001). The asthma group (adjusted HR = 1.19; 95% CI, 1.07 to 1.33; p = 0.002) demonstrated higher HRs for psoriasis than did the control group. This result was consistent in the <15 years old, ≥60 years old, and women subgroups.

CONCLUSION

Asthma was associated with the elevated risk of psoriasis. The possible risk of psoriasis needs to be considered when managing asthma patients. Future study is warranted for the risk of psoriasis according to the endotypes of asthma.

IL-17-high asthma with features of a psoriasis immunophenotype

BACKGROUND

The role of IL-17 immunity is well established in patients with inflammatory diseases, such as psoriasis and inflammatory bowel disease, but not in asthmatic patients, in whom further study is required.

OBJECTIVE

We sought to undertake a deep phenotyping study of asthmatic patients with upregulated IL-17 immunity.

METHODS

Whole-genome transcriptomic analysis was performed by using epithelial brushings, bronchial biopsy specimens (91 asthmatic patients and 46 healthy control subjects), and whole blood samples (n = 498) from the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) cohort. Gene signatures induced in vitro by IL-17 and IL-13 in bronchial epithelial cells were used to identify patients with IL-17-high and IL-13-high asthma phenotypes.

RESULTS

Twenty-two of 91 patients were identified with IL-17, and 9 patients were identified with IL-13 gene signatures. The patients with IL-17-high asthma were characterized by risk of frequent exacerbations, airway (sputum and mucosal) neutrophilia, decreased lung microbiota diversity, and urinary biomarker evidence of activation of the thromboxane B2 pathway. In pathway analysis the differentially expressed genes in patients with IL-17-high asthma were shared with those reported as altered in psoriasis lesions and included genes regulating epithelial barrier function and defense mechanisms, such as IL1B, IL6, IL8, and β-defensin.

CONCLUSION

The IL-17-high asthma phenotype, characterized by bronchial epithelial dysfunction and upregulated antimicrobial and inflammatory response, resembles the immunophenotype of psoriasis, including activation of the thromboxane B2 pathway, which should be considered a biomarker for this phenotype in further studies, including clinical trials targeting IL-17.

Increased Risk of Atrial Fibrillation and Thromboembolism in Patients with Severe Psoriasis: a Nationwide Population-based Study

Psoriasis increases the risk of atrial fibrillation (AF) and thromboembolic events (TE). There is limited information on the effect of psoriasis severity on AF and TE. In this study, psoriasis patients were enrolled from the Korean National Insurance Service-National Sample Cohort (2004–2008). Diagnosis and disease severity were determined from claims data. Newly diagnosed non-valvular AF and TE were identified during a 9.6-year follow-up. The effect of psoriasis severity on AF and TE was evaluated. We identified 13,385 psoriasis patients (1,947 with severe psoriasis). Severe psoriasis significantly increased the risk of AF (adjusted hazard ratio [HR_adjust] 1.44 [95% confidence interval (CI) 1.14–1.82], p = 0.002) and TE (HR_adjust 1.26 [95% CI 1.07–1.47], p = 0.005); mild psoriasis did not show any significant effects. Results were similar after propensity-score matching. Risk increments of AF and TE were prominent in patients with greater cardiovascular risk. A possible limitation of our study is that it has a retrospective design, and the effect of unmeasured confounders and risk of misclassification could bias the results. To conclude, our results showed that severe, but not mild, psoriasis significantly increased AF and TE risk. AF surveillance and active stroke prevention would be beneficial in such cases.

Pediatric psoriasis: Should we be concerned with comorbidity? Cross-sectional study

BACKGROUND

Similarly to psoriasis in adults, recent research has linked psoriasis to several comorbidities in children. The aim of this study was therefore to describe comorbidities associated with pediatric psoriasis, to investigate their relationship with psoriasis characteristics and severity, and to perform a review of the literature.

METHODS

A cross-sectional study was performed on a sample of Moroccan children with psoriasis, in 2014-2016.

RESULTS

A total of 64 pediatric psoriasis patients had metabolic comorbidities in association with psoriasis; 20 children had non-metabolic comorbidities; and 76 children had no comorbidity. The metabolic comorbidities were as follows: abdominal obesity, 40% (n = 64); overweight, 12.5% (n = 20); metabolic syndrome, 3.7% (n = 6); and dyslipidemia, 3.1% (n = 5); the non-metabolic comorbidities were atopy, 4.3% (n = 7); epilepsy, 3.1% (n = 5); celiac disease, 1.8% (n = 3); vitiligo, 1.8% (n = 3); alopecia ariata, 0.6% (n = 1); and valvular cardiopathy, 0.6% (n = 1). No cases of diabetes mellitus, obesity, or high blood pressure were recorded. Significant factors associated with metabolic comorbidity were extended psoriasis vulgaris >10% (P = 0.01; OR, 2.19), severe psoriasis especially pustular and erythroderma (P = 0.018; OR, 2), nail involvement (P = 0.016; OR, 1.5), face involvement (P = 0.01; OR, 1,59), resistance to topical treatment (P = 0.003; OR, 2.5) and alteration of quality of life (P = 0.02; OR, 1,7). There was no significant risk factor associated with non-metabolic comorbidity.

CONCLUSIONS

Given the frequent association of pediatric psoriasis with many disorders, these comorbidities should be investigated and identified so that they can be taken into account in the management of psoriasis in order to avoid treatment failure. Regular follow up should be carried out in patients at risk of metabolic comorbidity.

Candidate SNP Markers of Gender-Biased Autoimmune Complications of Monogenic Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters

Some variations of human genome [for example, single nucleotide polymorphisms (SNPs)] are markers of hereditary diseases and drug responses. Analysis of them can help to improve treatment. Computer-based analysis of millions of SNPs in the 1000 Genomes project makes a search for SNP markers more targeted. Here, we combined two computer-based approaches: DNA sequence analysis and keyword search in databases. In the binding sites for TATA-binding protein (TBP) in human gene promoters, we found candidate SNP markers of gender-biased autoimmune diseases, including rs1143627 [cachexia in rheumatoid arthritis (double prevalence among women)]; rs11557611 [demyelinating diseases (thrice more prevalent among young white women than among non-white individuals)]; rs17231520 and rs569033466 [both: atherosclerosis comorbid with related diseases (double prevalence among women)]; rs563763767 [Hughes syndrome-related thrombosis (lethal during pregnancy)]; rs2814778 [autoimmune diseases (excluding multiple sclerosis and rheumatoid arthritis) underlying hypergammaglobulinemia in women]; rs72661131 and rs562962093 (both: preterm delivery in pregnant diabetic women); and rs35518301, rs34166473, rs34500389, rs33981098, rs33980857, rs397509430, rs34598529, rs33931746, rs281864525, and rs63750953 (all: autoimmune diseases underlying hypergammaglobulinemia in women). Validation of these predicted candidate SNP markers using the clinical standards may advance personalized medicine.

Clustering of autoimmune diseases in patients with rosacea

BACKGROUND

Rosacea is a common inflammatory skin condition that shares genetic risk loci with autoimmune diseases such as type 1 diabetes mellitus (T1DM) and celiac disease. A recent genomewide association study identified 90 genetic regions associated with T1DM, celiac disease, multiple sclerosis, and/or rheumatoid arthritis, respectively. However, a possible association with rosacea was not investigated.

OBJECTIVE

We evaluated the association between rosacea and T1DM, celiac disease, multiple sclerosis, and rheumatoid arthritis, respectively.

METHODS

We performed a population-based case-control study. A total of 6759 patients with rosacea were identified and matched with 33,795 control subjects on age, sex, and calendar time. We used conditional logistic regression to calculate crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

After adjustment for smoking and socioeconomic status, patients with rosacea had significantly increased ORs for T1DM (OR 2.59, 95% CI 1.41-4.73), celiac disease (OR 2.03, 95% CI 1.35-3.07), multiple sclerosis (OR 1.65, 95% CI 1.20-2.28), and rheumatoid arthritis (OR 2.14, 95% CI 1.82-2.52). The association was mainly observed in women.

LIMITATIONS

We were unable to distinguish between the different subtypes and severities of rosacea.

CONCLUSIONS

Rosacea is associated with T1DM, celiac disease, multiple sclerosis, and rheumatoid arthritis, respectively, in women, whereas the association in men only reached statistical significance for rheumatoid arthritis.