Objective To evaluate the clinical effect of local POME optical treatmeat in patients with severe vulvovaginal candidiasis (VVC) . Methods Ninety-eight patients, who were diagnosed as severe vulvovaginal candidiasis from January to December 2009 in Beijing Wuzhou Women's Hospital gynecologicalclinic,were enrolled into this study and divided into control and physiotherapy groups randomly. The patients of control group (re =48) were treated with oral Fluconazole and had Miconazde Nitrate suppositories settlement into vagina, while in the physiotherapy group (n =50) the patients accepted local POME optical treatment combined with the same medications as control. The therapeutic effect were evaluated and compared according to the subjective symptoms and VVC scores in both groups. Results The clinical symptoms of physiotherapy group were relieved within 4 hours after the treatment, which were significantly depressed compared to before the treatment (itching score 1.4 ±0.3 vs. 2. 8 ±0. 5,P <0. 05;pain score 1.5 ±0.4 vs. 2. 8 ±0. 3,P <0. 05),while obvious improvements were observed in control group untill 48 hours later (itching score 1. 8 ± 0. 6 vs.2.9 ±0.3,P<0. 05;pain score 1.5 ±0.5 vs. 2. 8 ±0.4,P <0. 05). The VVC scores were significantly lower in physiotherapy group than control after treatment at different timepoints (24 h VVC Score 5. 3 ± 1. 6 vs. 9. 5 ±2. 1,P<0. 05;48 h Score 4. 8 ±1.0 vs. 7.9 ±2. 3,P<0. 05),but no significant difference was observed in the comparison of VVC Scores between two groups 72 h after treatment (P > 0.05). Conclusion Local POME optical treatment combined with drug treatment in severe VVC patients not only has better effect than drug treatment alone,but also relieves clinical symptoms more quickly.

Objective:To develop and validate a risk prediction model for cognitive frailty in elderly patients with type 2 diabetes.Methods:A total of 483 elderly patients with type 2 diabetes who visited Tianjin First Central Hospital from June to December 2022 were selected using convenience sampling. They were randomly divided into a modeling group ( n=338) and a validation group ( n=145). Data were collected using a self-designed general information questionnaire, the Short-Form Mini Nutritional Assessment (MNA-SF), the Geriatric Depression Scale-15 (GDS-15), the Frailty Phenotype (FP), the Montreal Cognitive Assessment (MoCA), and the Clinical Dementia Rating (CDR). Logistic regression analysis was performed to identify the influencing factors. A cognitive frailty risk prediction nomogram model was constructed based on the results. The model was validated in the validation group, and its predictive performance and clinical applicability were evaluated using the area under the receiver operating characteristic curve ( AUC), calibration curve, and clinical decision curve analysis. A total of 483 questionnaires were distributed and all were returned as valid, resulting in a 100.0% response rate. Results:The prevalence of cognitive frailty in the 483 elderly patients with type 2 diabetes was 20.3% (98/483). Age, regular exercise, duration of diabetes, HbA1c levels, depression and nutritional status were identified as predictive factors in the model. The AUC of the model was 0.886, and the Hosmer-Lemeshow test showed a χ 2 value of 8.004 ( P=0.433). The optimal cutoff value was 0.335, and the accuracy was 89.0%. Conclusions:The prediction model demonstrates good fit and strong predictive performance, and can intuitively and easily identify elderly patients with type 2 diabetes who are at high risk of cognitive frailty, providing a reference for early screening and intervention.