Predicting the risk of suicide attempt in a depressed population: Development and assessment of an efficient predictive nomogram.

The purpose of this study was to develop and validate a user-friendly suicide attempt risk nomogram in depression, supporting timely interventions by clinicians. We collected clinical data of 273 depressed patients from January 2020 to January 2021. Suicide attempt was assessed conducting the Mini International Neuropsychiatric Interview. First, optimized features were filtrated through the least absolute shrinkage and selection operator regression analysis. Subsequently, we selected variables with nonzero coefficients and entered them into multiple logistic regression model and nomogram function to construct a visual predicting suicide attempt model. Additionally, the C-index, calibration plot and decision curve analysis, were applied to assess discrimination, calibration, and clinical practicability. Finally, the bootstrapping validation was applied to assess internal validation. Finally, eleven clinical features are screened out in the prediction nomogram. The model presented tiptop calibration and pleasant discrimination with a C-index of 0.853. A towering C-index value, up to 0.799, could also be attained in the interval validation analysis. In addition, decision curve analysis exhibited that our predictive model is clinically effective when the threshold is no less than 1%. These results demonstrate this predictive model was helpful for clinicians assessing the inpatient's suicide attempt recently and implementing individualized treatment strategies.

Lycium barbarum polysaccharide encapsulated Poly lactic-co-glycolic acid Nanofibers: cost effective herbal medicine for potential application in peripheral nerve tissue engineering.

Nerve regeneration is a serious clinical challenge following peripheral nerve injury. Lycium barbarum polysaccharide (LBP) is the major component of wolfberry extract, which has been shown to be neuroprotective and promising in nerve recovery in many studies. Electrospun nanofibers, especially core-shell structured nanofibers being capable of serving as both drug delivery system and tissue engineering scaffolds, are well known to be suitable scaffolds for regeneration of peripheral nerve applications. In this study, LBP was incorporated into core-shell structured nanofibrous scaffolds via coaxial electrospinning. Alamar blue assays were performed to investigate the proliferation of both PC12 and Schwann cells cultured on the scaffolds. The neuronal differentiation of PC12 cells was evaluated by NF200 expression with immunostaining and morphology changes observed by SEM. The results indicated that the released LBP dramatically enhanced both proliferation and neuronal differentiation of PC12 cells induced by NGF. Additionally, the promotion of Schwann cells myelination and neurite outgrowth of DRG neurons were also observed on LBP loaded scaffolds by LSCM with immunostaining. In summary, LBP, as a drug with neuroprotection, encapsulated into electrospun nanofibers could be a potential candidate as tissue engineered scaffold for peripheral nerve regeneration.