Objective To explore the MRI diagnosis characteristics of reversible splenial lesion syndrome (RESLES).Methods The clinical and imaging data of 12 cases of RESLES was analyzed retrospectively.MRI plain scan and DWI of brain were performed in all the cases.Apparent diffusion coefficient (ADC) value was obtained through post-processing function.Results 8 of 12 cases were children and 4 were adults.The splenium of corpus callosum of 12 cases showed round lesions,with slightly long T1 and slightly long T2 signal on MRI,high signal on DWI,and low signal on ADC map.The mean value of ADC of 12 cases was about 0.43× 10-3 mm2/s.The MRI reexamination was made after treatment in 12 cases,which showed the lesion of splenium of corpus callosum disappeared,and clinical syndromes were improved.Conclusion The MRI manifestation of RESLES is characterized by solitary lesion.The ADC value could accurately reflect the molecular diffusion information of the lesion.

Objective:To summarize and evaluate the best evidence for nonpharmacological interventions in patients with post-stroke depression.Methods:Based on the "6S" pyramid model of evidence resources, the Chinese and English databases and websites of relevant professional associations were systematically searched for evidence on nonpharmacological interventions in patients with post-stroke depression, including guidelines, evidence summaries, systematic reviews, and expert consensus. The retrieval time limit was from the establishment of the database to July 31, 2021. The quality of the article was independently evaluated by two researchers, and evidence was extracted and summarized for the article that met the quality standards.Results:A total of 15 articles were included, including 4 guidelines, 1 evidence summary, 9 systematic reviews, and 1 expert consensus. A total of 25 pieces of the best evidence were compiled from five aspects, namely, health education, exercise intervention, psychological intervention, physical intervention and traditional Chinese medicine techniques.Conclusions:Medical and nursing staff should formulate nonpharmacological interventions for post-stroke depression patients according to the specific clinical conditions and patient characteristics, and apply the evidence in clinical practice.

Objective To analyze the influencing factors of frailty in elderly patients with lower extremity osteoarthritis,and to construct and validate the risk assessment model.Methods Convenient sampling method was used to select 535 elderly patients with lower extremity osteoarthritis from tertiary hospitals and community health service centers in Hangzhou from January to September 2022 as the survey subjects including 357 in the modeling group and 178 in the validation group.Univariate and multivariate logistic regression analysis were used to determine the risk factors of frailty,construct a risk assessment model and draw a nomogram.The discrimination and calibration of the model were evaluated by the area under the receiver operating characteristic curve and the Hosmer-Lemeshow test.The Bootstrap method was used for intemal validation of the model,and the time verification method was used for external validation.Results The model variables included the number of affected joints,age-adjusted Charlson comorbidity index,pain,nutritional status,sedentary time,activity of daily living,osteoarthritis index,lower limb muscle strength,and Social Support Rating Scale score.The Hosmer-Lemeshow test results of the model showed that P=0.202,the area under the receiver operating characteristic curve was 0.942,the optimal critical value was 0.392,the sensitivity was 0.914,the specificity was 0.893,and the accuracy rate was 0.902.The internal and external validation showed that the C-statistics were 0.935 and 0.919,respectively,and the calibration curve showed good fitting.Conclusion The risk assessment model has a good degree of discrimination and calibration,which can more intuitively and easily screen elderly patients with lower extremity osteoarthritis at high risk of frailty,and provide references for early monitoring,identification,prevention and control.

Background and objective The incidence rate of lung cancer in Xuanwei has been continuously in-creasing in recent years,and it also features high incidence across all age groups and high mortality rates among female lung cancer patients.Therefore,the search for more stable biomarkers for the diagnosis of Xuanwei lung cancer holds tremendous clinical application prospects.This study aims to explore the clinical application value of these four microRNAs(miRNAs)in-dividually and in combination with traditional lung cancer tumor markers in the detection and diagnosis of Xuanwei lung can-cer.Methods By detecting the expression levels of four miRNAs and five traditional lung cancer tumor markers in the serum of 45 Xuanwei lung cancer patients and healthy physical examination participants,the Logistic regression model was employed to comprehensively evaluate the sensitivity,specificity,diagnostic efficacy,and other relevant statistical indicators of the four miR-NAs in the diagnosis of Xuanwei lung cancer.Results Among the individual miRNAs,miR-4646-5p and miR-3654 showed significant differences in expression levels between the Xuanwei lung cancer group and the control group(P＜0.05).miR-3654 demonstrated the best diagnostic performance with a sensitivity of 86.7％ ,specificity of 82.2％ ,and an area under the curve of 0.847.Combining miR-3654 with miR-4646-5p and carcinoembryonic antigen(CEA)resulted in the highest diagnostic ef-ficacy for Xuanwei lung cancer,with a sensitivity of 73.3％ ,specificity of 93.3％ ,area under the curve of 0.901,and a positive predictive value of 91.7％ .Conclusion Among the four miRNAs,serum miR-3654 exhibits the best diagnostic efficacy for Xuanwei lung cancer.Combined with miR-4646-5p and CEA,its diagnostic value for Xuanwei lung cancer can be effectively enhanced,making it a promising screening indicator for Xuanwei lung cancer.

Objective To explore the co-infection rate,immune function and drug resistance status among tuberculosis patients co-infected with HBV,HCV and HIV in Yunnan.Methods A total of 2271 TB patients in Yunnan province admitted to the Third People's Hospital of Kunming from April 2020 to March 2023 were collected for HBV,HCV,HIV serological tests,lymphocyte tests and drug resistance gene detection,and analysis of TB infection of HBV,HCV,HIV infection,immune function and resistance.Results Among the 2271 TB patients,499 cases were infected with TB and HBV,the infection rate was 21.97%.196 cases were infected with HCV,the infection rate was 8.63%.166 cases were infected with HIV,the infection rate was 7.31%.There were 1410 patients with simple tuberculosis,accounting for 62.09%.The infection rates of tuberculosis combined with HBV,HCV and HIV were statistically significant in different age groups(P<0.01).The absolute number expression of CD3+,CD4+ and CD8+T cells was higher in TB patients with HBV and HCV,and the differences between the two were statistically significant(P<0.05).The absolute number expression of CD3+ and CD4+T cells was lower in TB patients with HIV,and the absolute number expression of CD8+T cells was increased,and the difference between the two was statistically significant(P<0.01).The absolute number of CD3+,CD4+ and CD8+T cells was higher in female patients with tuberculosis and HIV,and the differences were statistically significant(P<0.05).In all age groups,the absolute number of CD3+ and CD8+T cells in tuberculosis patients with HIV was the lowest in 46-65 years old group,and the differences were statistically significant(P<0.05).Among the 2271 TB patients,391 were resistant to any first-line drug(single drug resistance),and the overall drug resistance rate was 17.22%.Among them,52 cases were combined with HBV drug resistance,the resistance rate was 10.42%.There were 10 cases with HCV drug resistance,the drug resistance rate was 5.10%.40 cases were combined with HIV drug resistance,the drug resistance rate was 24.10%.Drug resistance in 289 patients with simple tuberculosis was 20.50%.Among them,33 cases were single drug resistant rifampicin,accounting for 19.88%.Conclusion Tuberculosis has the highest rate of co-infection with HBV,and the immune function of TB patients co-infected with HIV is the worst.The drug resistance rate of TB patients co-infected with HIV is also the highest,with resistance to rifampicin being the most common.TB is a chronic wasting disease,with poorer immune function compared to the general population,making it more susceptible to HBV infection.TB patients who are also infected with HIV tend to have worsened immune function and increased drug resistance.