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
Quick summary
When you want to estimate disease burden, prevalence, and treatment patterns from registry data, with age-standardized estimates and bias-aware modeling.
We estimated disease prevalence and treatment patterns from the registry.
- Curated, analysis-ready registry dataset with a documented data dictionary.
- Age-standardized prevalence and treatment-pattern report.
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.
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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