Although the Chinese government provides free-of-charge voluntary HIV counseling and testing, HIV testing rates among men who have sex with men (MSM) are reported to be extremely low. This study examines the association of structural and psychosocial factors and social network characteristics with HIV testing behaviors among "money boys" and general MSM in Shanghai. Overall, 28.5% of "money boys" and 50.5% of general MSM had never tested for HIV despite high rates of reported HIV risk behaviors. Factors associated with not testing for HIV included: not knowing of a testing site, limited HIV knowledge, low perceived HIV risk, concern about HIV testing confidentiality, being a closeted gay, not using the Internet, and having a small social network or network with few members who had tested for HIV. Future efforts to promote HIV testing should focus on outreach to general MSM, confidentiality protection, decreasing the stigma of homosexuality, and encouraging peer education and support through the Internet and social networks.

Background: As the booming of deep learning era, especially the advances in convolutional neural networks (CNNs), CNNs have been applied in medicine fields like radiology and pathology. However, the application of CNNs in dermatology, which is also based on images, is very limited. Inflammatory skin diseases, such as psoriasis (Pso), eczema (Ecz), and atopic dermatitis (AD), are very easily to be mis-diagnosed in practice. Methods: Based on the EfficientNet-b4 CNN algorithm, we developed an artificial intelligence dermatology diagnosis assistant (AIDDA) for Pso, Ecz & AD and healthy skins (HC). The proposed CNN model was trained based on 4,740 clinical images, and the performance was evaluated on experts-confirmed clinical images grouped into 3 different dermatologist-labelled diagnosis classifications (HC, Pso, Ecz & AD). Results:The overall diagnosis accuracy of AIDDA is 95.80%±0.09%, with the sensitivity of 94.40%±0.12% and specificity 97.20%±0.06%. AIDDA showed accuracy for Pso is 89.46%, with sensitivity of 91.4% and specificity of 95.48%, and accuracy for AD & Ecz 92.57%, with sensitivity of 94.56% and specificity of 94.41%.Conclusions: AIDDA is thus already achieving an impact in the diagnosis of inflammatory skin diseases, highlighting how deep learning network tools can help advance clinical practice.

BackgroundMost studies have suggested that elevated body mass index (BMI) was associated with the risk of death from all cause and from specific causes. However, there was little evidence illustrating the effect of BMI on the mortality in elderly hypertensive patients in Chinese population.MethodsThe information of 10,957 hypertensive patients at baseline not less than 60 years were from Xinzhuang, a town in Minhang district of Shanghai, was extracted from the Electronic Health Record (EHR) system. All study participants were divided into eight categories of baseline BMI (with cut-points at 18, 20, 22, 24, 26, 28 and 30 kg/m2). Relative hazard ratio of death from all cause, cardiovascular and non-cardiovascular cause by baseline BMI groups were calculated, standardized for sex, age, smoking, drinking, physical activity, systolic blood pressure, history of cardiovascular disorders, serum lipid disturbance, diabetes mellitus and antihypertensive drug treatment.ResultsDuring follow up (median: 3.7 years), 561 deaths occurred. Underweight (BMI<18 kg/m2) was associated with significantly increased mortality from all cause mortality (OR: 2.00; 95% CI: 1.43–2.79) and non cardiovascular mortality (OR: 2.76; 95% CI: 1.87–4.07), but not with cardiovascular mortality. For the cause specific analysis, the underweight was associated significantly with neoplasms (OR: 2.15; 95% CI: 1.16–4.00) and respiratory disorders (OR: 3.41; 95% CI: 1.64–7.06). The results for total mortality and specific cause mortality were not influenced by sex, age and smoking status.ConclusionOur study revealed an association between underweight and increased mortality from non-cardiovascular disorders in elderly hypertensive patients in Chinese community. Overweight and obesity were not associated with all cause or cause specific death.

Adoptive cell therapy (ACT), including tumor‐infiltrating lymphocytes (TILs), T cell receptor engineered T cell (TCR‐T), and chimeric antigen receptor engineered T cell (CAR‐T), has shown significant clinical benefits for cancer treatment. However, all of these ACT therapies are associated with toxicities from mild to life threatening in clinic. Common ACT‐related toxicities include cytokine release syndrome (CRS) resulting from immune activation, neurological toxicity, on‐target/off tumor or off‐target toxicities, and toxicities associated with lymphodepletion preconditioning and high does IL‐2 administration. This review summarizes clinical manifestations of adverse events associated with ACT treatment and discusses the underlying pathological mechanisms. Moreover, challenges and opportunities of managing ACT‐related toxicities have been discussed to give an indication of how to improve the safety of ACT treatment without dampening the therapeutic effect.