1.Patch testing for selection of cosmetic allergens in female facial dermatitis by European standard of cosmetic allergens
Chengxia ZHOU ; Wei LI ; Li LI
Chinese Journal of Medical Aesthetics and Cosmetology 2009;15(5):316-319
Objective To identify the common allergens of the female patients with facial dermatitis with European standard of cosmetic allergens.Methods Female patients with facial dermatitis were tested with European standard of cosmetic allergens.The reactions to allergens were documented by following the International Contact Dermatitis Research Group recommendations.Results Total 41female patients with facial dermatitis were tested with European standard of cosmetic allergens,themain cosmetic allergens were hexamine(12.20),thimerosal(9.76%),diazolidinyl urea(7.32%)and DMDM hydantoin(7.32%);the main European standard allergens were nickel sulfate(22.20%),formaldehyde(14.63%),4-phenylencdiamine base(9.76%)and fragrance mix (9.76%).Conclusions NickeJ sulfate,formaldehyde,hexamine,thimerosal,4-phenylenediamine base,fragrance mix,diazolidinyl urea and DMDM hydantoin are the main allergens of female patients with facial dermatitis.
2.Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke
Yiran ZHOU ; Di WU ; Su YAN ; Yan XIE ; Shun ZHANG ; Wenzhi LV ; Yuanyuan QIN ; Yufei LIU ; Chengxia LIU ; Jun LU ; Jia LI ; Hongquan ZHU ; Weiyin Vivian LIU ; Huan LIU ; Guiling ZHANG ; Wenzhen ZHU
Korean Journal of Radiology 2022;23(8):811-820
Objective:
To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes.
Materials and Methods:
Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses.
Results:
Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness.
Conclusion
The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.
3.Comparison of clinical characteristics between first-episode and relapse of major depressive disorder
Xiuyan ZHENG ; Chengxia TANG ; Zhaorui LIU ; Tingting ZHANG ; Yueqin HUANG ; Liang ZHOU ; Yuandong GONG ; Yan LIU ; Bo LIU ; Jie ZHANG ; Haiming WANG ; Zhengmin FENG ; Jun GUO ; Wenming CHEN ; Linling JIANG ; Defang CAI ; Jin LU
Chinese Mental Health Journal 2024;38(1):25-32
Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6%)were first-episode depression and 329(36.0%)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95%CI:1.00-4.44),more days out of role(OR=1.26,95%CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95%CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95%CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95%CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.