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健保資料庫研究團隊 - 研究發現:扁桃腺切除的人,未來得到皮膚乾癬的機率明顯降低

健保資料庫研究團隊 - 研究發現:扁桃腺切除的人,未來得到皮膚乾癬的機率明顯降低

🙂 分享我們最近發表在皮膚科第一名的JAAD雜誌ranking 0.74% ,IF 8.277的論文,

          第一作者是中山醫學大學醫學系陳明利同學。

🔎 這個研究發現:扁桃腺切除的人,未來得到皮膚乾癬的機率明顯降低。

          這個發現證實過去扁桃腺鏈球菌感染可能跟乾癬的發生有關的觀察。

📝 可能的臨床應用是:皮膚乾癬的病人,如果常常發生扁桃腺炎,
          可以考慮把扁桃腺切除,可能對皮膚乾癬有幫助。





繼續閱讀

Background

Tonsillectomy has been suggested as an intervention to resolve psoriasis.

Objective

This study aimed to investigate the subsequent risk of psoriasis in patients who received tonsillectomy.

Methods

We used data from the Taiwan National Health Insurance Research Database. The tonsillectomy group (case group) and the tonsillectomy-free group (comparison group) were matched at a ratio of 1:4 by demographic data, comorbidities, medical confounders, and the index date. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

We identified 2021 patients as the case group and matched 8084 individuals as the comparison group. The adjusted HR (aHR) of psoriasis was 0.43 (95% CI, 0.22-0.87; P < .05). The study population is composed of a mainly male (65%) and young population (mostly younger than 50 years). Notably, patients with rheumatoid arthritis increased the risk of psoriasis (aHR, 3.97; 95% CI, 1.17-13.48; P < .05). In our stratification analysis, the risk of psoriasis decreased in almost all subgroups.

Limitation

Our database did not include information on genome and the subtypes of psoriasis.

Conclusion

Our study showed a decreased risk of psoriasis in the tonsillectomy group after adjustment for baseline characteristics, comorbidities, and medical confounders compared with the reference group.

Key words

cohort
psoriasis
Streptococcus tonsillitis
Taiwan
tonsillectomy

Abbreviations used

aHR
adjusted hazard ratio
CI
confidence interval
GAS
group A Streptococcus
HR
hazard ratio
ICD-9-CM
International Statistical Classification of Diseases and Related Health Problems, Ninth Revision, Clinical Modification
LHIRD
Longitudinal Health Insurance Research Dataset
NHIRD
National Health Insurance Research Database

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