Incidence of Late-Onset Psoriasis Following Tonsillectomy: A Longitudinal Follow-Up Study Using a National Health Screening Cohort.
Sung Joon ParkHahn Jin JungMin Woo ParkHyo Geun ChoiHeejin KimJee-Hye WeePublished in: Journal of personalized medicine (2024)
Tonsillectomy has been suggested as a potential intervention to resolve psoriasis; however, its preventive effects on the development of psoriasis remain unclear. This study aimed to investigate the risk of developing late-onset psoriasis among a Korean adult population who had undergone tonsillectomy. Data from the Korean National Health Insurance Service-Health Screening Cohort between 2002 and 2019 were utilized. Out of a total of 514,866 participants, 1082 participants aged 40 years or older who had undergone tonsillectomy were matched with 4328 control participants using overlap weighting adjustment based on the propensity score. The incidence and hazard ratio (HR) of psoriasis were calculated for both tonsillectomy and control groups. The incidence rates of psoriasis were 1.30% in the tonsillectomy group and 1.20% in the control group. The incidence of psoriasis (overlap-weighted HR = 1.08, 95% confidence of interval = 0.69-1.69, and p = 0.732) did not differ significantly between the patients who underwent tonsillectomy and those in the control group. The cumulative probability of developing psoriasis was not different between the two groups (Log-rank test: p = 0.440). These findings were consistent across subgroups divided by age, sex, income, and region of residence. We found that tonsillectomy did not confer a preventive effect on the development of late-onset psoriasis in the Korean adult population.
Keyphrases
- late onset
- early onset
- health insurance
- atopic dermatitis
- risk factors
- healthcare
- mental health
- randomized controlled trial
- public health
- end stage renal disease
- newly diagnosed
- physical activity
- chronic kidney disease
- ejection fraction
- magnetic resonance
- computed tomography
- electronic health record
- health information
- quality improvement
- artificial intelligence
- contrast enhanced