Kuwaiti Psoriasis Registry
A comprehensive epidemiological study of psoriasis prevalence and clinical characteristics across Kuwait. The analysis examined disease patterns, treatment outcomes, and patient demographics to support clinical practice guidelines.
Project highlights
Methods & Tools
Estimating psoriasis burden and biologic-treatment patterns from registry data required careful age-standardization and bias-aware modeling across a large, heterogeneous patient population.
We curated the registry, produced standardized prevalence estimates, and modeled treatment and outcome associations with bias-aware methods.
Cleaned and validated registry records for 1,200+ patients, reconciling coding inconsistencies and handling missingness with multiple imputation.
Estimated prevalence and incidence with direct age-standardization and exact confidence intervals across demographic strata.
Modeled treatment and outcome associations, including biologic uptake, with multivariable logistic regression in R, reporting adjusted effects.
Curated, analysis-ready registry dataset with a documented data dictionary.
Age-standardized prevalence and treatment-pattern report.
Reproducible Quarto report with publication-ready tables and figures.
Registry records validated against a documented data dictionary.
Missing data handled by multiple imputation rather than deletion.
Prevalence directly age-standardized with exact confidence intervals.
Reproducible Quarto report with a complete audit trail.
We had more than a thousand patient files in the psoriasis registry, and honestly I did not know where to start. They organised everything in R and, step by step, we started to see patterns we did not expect. I felt I had a real partner in the project, not just someone doing a service.
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