Lin Zheng, Wang Hong-Fei, Yu Lu-Yan, Chen Jia, Kong Cheng-Cheng, Zhang Bin, Wu Xuan, Wang Hao-Nan, Cao Yi, Lin Ping
Dermatology Department, The First Clinical Medical College, Zhejiang Chinese Medical University, Post and Circuit Road, Shangcheng District, Hangzhou, ZheJiang, 310006, China.
Geriatric department, The Third Hospital of Hangzhou, Zhejiang Chinese Medical University, Xi Hu Avenue, Shangchenq Distinct, Hangzhou, ZheJiang, 310009, China.
Immun Ageing. 2025 Feb 11;22(1):6. doi: 10.1186/s12979-025-00500-4.
The relationship between psoriasis and aging remains unclear. Biological age is considered as a tool for strong association with aging, but there is a lack of reports on the relationship between biological age and psoriasis. Therefore, this study aimed to explore the relationship between biological age and psoriasis.
Patients with psoriasis and non-psoriasis were recruited from National Health and Nutrition Examination Survey (NHANES) (12,973 cases), Medical Information Mart for Intensive Care (MIMIC-IV) (558 cases) and The First Clinical Medical College of Zhejiang Chinese Medical University (206 cases). Biological age was calculated using Klemera-Doubal method age (KDM-age) and phenotypic age (PhenoAge). Linear regression and logistic regression were used to explore the association between psoriasis and biological age advance. Cox regression was used to investigate the association between biological age advance and mortality. Finally, biological age advance was used to predict the death of psoriasis patients.
In NHANES, linear regression showed that psoriasis led to a 0.54 advance in PhenoAge (Adjust Beta: 0.54, 95CI: 0.12-0.97, p = 0.018). The KDM-age advance due to psoriasis was not statistically significant (p = 0.754). Using data from China, we came to the new conclusion that for every unit rise in Psoriasis Area and Severity Index, PhenoAge advance rose by 0.12 (Beta: 0.12, 95CI: 0.01-0.22, p = 0.031). Using NHANES data, cox regression shows for every unit rise in PhenoAge advance patients had an 8% rise in mortality (Adjust hazard ratio: 1.08, 95CI: 1.04-1.12, p < 0.001). Using MIMIC-IV, logistic regression showed a 13% increase in mortality within 28 days of admission for every 1 unit rise in PhenoAge advance (odds ratio: 1.13, 95CI: 1.09-1.18, P < 0.001). Finally, we used PhenoAge advance to predict death, with an AUC of 0.71 in the NHANES, an ACU of 0.79 for predicting death within 1 years in the general ward of MIMIC-IV. In the ICU of MIMIC-IV, the AUC for predicting death within 28 days was 0.71.
Psoriasis leads to accelerated biological aging in patients, which is associated with the severity of psoriasis and more comorbidities. In addition, PhenoAge has the potential to monitor the health status of patients with psoriasis.
银屑病与衰老之间的关系尚不清楚。生物学年龄被视为与衰老密切相关的一个指标，但关于生物学年龄与银屑病之间关系的报道较少。因此，本研究旨在探讨生物学年龄与银屑病之间的关系。
从美国国家健康与营养检查调查（NHANES）（12973例）、重症监护医学信息数据库（MIMIC-IV）（558例）和浙江中医药大学第一临床医学院（206例）招募银屑病患者和非银屑病患者。使用克莱梅拉-杜巴尔法年龄（KDM-age）和表型年龄（PhenoAge）计算生物学年龄。采用线性回归和逻辑回归探讨银屑病与生物学年龄进展之间的关联。采用Cox回归研究生物学年龄进展与死亡率之间的关联。最后，用生物学年龄进展来预测银屑病患者的死亡情况。
在NHANES中，线性回归显示银屑病导致表型年龄提前0.54岁（调整β值：0.54，95%置信区间：0.12 - 0.97，p = 0.018）。银屑病导致的KDM-age提前无统计学意义（p = 0.754）。利用中国的数据，我们得出新结论：银屑病面积和严重程度指数每增加一个单位，表型年龄提前增加0.12岁（β值：0.12，95%置信区间：0.01 - 0.22，p = 0.031）。利用NHANES数据，Cox回归显示表型年龄进展每增加一个单位，患者死亡率上升8%（调整风险比：1.08，95%置信区间：1.04 - 1.12，p < 0.001）。利用MIMIC-IV数据，逻辑回归显示表型年龄进展每增加1个单位，入院28天内死亡率增加13%（优势比：1.13，95%置信区间：1.09 - 1.18，P < 0.001）。最后，我们用表型年龄进展来预测死亡情况，在NHANES中AUC为0.71，在MIMIC-IV普通病房中预测1年内死亡的ACU为0.79。在MIMIC-IV的重症监护病房中，预测28天内死亡的AUC为0.71。
银屑病会导致患者生物学衰老加速，这与银屑病的严重程度和更多的合并症有关。此外，表型年龄有潜力监测银屑病患者的健康状况。
