Search

Psoriasis is a common skin disease. With an in-depth understanding of psoriasis, small-molecule drugs and biologics are developed and used in clinical practice, but some patients still cannot achieve a satisfactory therapeutic effect. Tobacco smoking and alcohol drinking are proven to be factors affecting psoriasis. Still, evidence of the impact of tobacco smoking and alcohol consumption on the efficacy of psoriasis treatment is limited. This study aims to understand the prevalence of tobacco smoking and alcohol drinking among patients with psoriasis in Shanghai and to examine the association between tobacco smoking as well as alcohol drinking and the therapeutic effect in patients with psoriasis. We conducted a longitudinal observational study and recruited at least 500 psoriasis patients at Shanghai Skin Disease Hospital. In this study, patients with clinically diagnosed psoriasis vulgaris, aged ≥18 years, both males and females, with informed consent were recruited. However, patients with pregnancy, serious underlying disease conditions, communication barriers, and violation of medication regulations were excluded. Patients with psoriasis in this study receive a physical examination and case record form interview. The primary outcome indicator is the proportion of patients with PASI 75 achievement at Week 8. In this study, we use SAS 9.2 software to analyze the data. This study has been reviewed and approved by the Institutional Ethics Review Committee of Shanghai Skin Disease Hospital in 2021 (NO. 2021-44). It has been registered in the Chinese Clinical Trial Registry (ChiCTR2200066403). Patient recruitment began in January 2021 and is proposed to be finished in December 2024. The findings in this study will provide evidence of how tobacco smoking and alcohol drinking impact the treatment efficacy among patients with psoriasis. Therefore, the implementation of tobacco control and alcohol abstinence benefit the improvement of treatment responses.

Abstract Background Many effective therapies for psoriasis are being applied in clinical practice in recent years, however, some patients still can’t achieve satisfied effect even with biologics. Therefore, it is crucial to identify factors associated with the treatment efficacy among psoriasis patients. This study aims to explore factors influencing the treatment efficacy of psoriasis patients based on decision tree model and logistic regression. Methods We implemented an observational study and recruited 512 psoriasis patients in Shanghai Skin Diseases Hospital from 2021 to 2022. We used face-to-face questionnaire interview and physical examination to collect data. Influencing factors of treatment efficacy were analyzed by using logistic regression, and decision tree model based on the CART algorithm. The receiver operator curve (ROC) was plotted for model evaluation and the statistical significance was set at P

Introduction Evidence indicates that physicians’ smoking cessation advice is significant for tobacco control, which is an impetus to encourage smoking cessation among smokers, but the estimated influence of physicians’ smoking cessation advice on smokers’ intention to quit is limited in Shanghai, China. Methods We enrolled 1104 participants who were current smokers in the SJ (Songjiang) and FX (Fengxian) districts in Shanghai in 2021. An electronic questionnaire was used to collect data and SAS 9.4 was used for data analysis. Univariate and multivariate logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to estimate the influence of the assumed physicians’ advice for smoking cessation on current smokers’ smoking cessation plan. Results A total of 1104 participants provided information of which 914 were male smokers (82.8%) and 190 (17.2%) were female smokers. Multivariate logistic regression demonstrated that female smokers (OR=2.47; 95% CI: 1.66–3.68), smokers with at least 1 type of non-communicable disease (OR=2.09; 95% CI: 1.42–3.07), smoking intensity