Objective To study the validity of RAND-UCLA (Rand Corporation and University of California at Los Angeles) consensus panel method in developing guidelines of referral indications for low back pain (LBP).Methods Evidence-based clinical guidelines for LBP management at community level and its referral guidelines published since 2001 and other tools were retrieved with varied tools.All clinical guidelines met inclusion criteria were evaluated with clinical studies and evaluation tools (AGREE).An pool of indication items was established based on evidence for developing referral indications for LBP, which were added by RAND-UCLA consensus panel method, and alternative referral indications were selected and clinical guidelines for LBP referral were established.Results A total of 15 copies of clinical guidelines from nine countries or regions were included in it after critical appraisal.Four copies of referral guidelines from two countries were included.Referral indications for LBP were derived directly from the RAND-UCLA consensus panel process, consisting of 44 referral indications for three groups (immediate, urgent and routine referral).Conclusions The RAND-UCLA consensus panel method is a more useful and practical tool in developing clinical guidelines, referral guidelines, which is worthwhile being recommended and spread.

Objective A wearable wireless chest patch monitoring terminal is designed to realize the acquisition,processing,and wireless transmission of ECG,respiration,and body temperature signals.Methods The analog front-end ADS1292R,which integrates respiratory impedance and ECG front-end,is utilized to collect human ECG and respiratory signals.The body temperature is collected using a low-power,high-precision digital temperature sensor MAX30208.A filter algorithm for signal processing and wireless transmission is designed through a low-power nRF52840 Bluetooth SoC with an Arm Cortex-M4F kernel.Results The experimental results show that the designed monitoring terminal can monitor the ECG,respiration,and body temperature parameters of the human body in real-time and send the monitoring results via Bluetooth,with a continuous working time of more than 13 hours.Conclusion The wearable wireless chest patch monitoring terminal features good portability,long standby time,and high measurement accuracy,and it has promising application prospects in the fields of family health monitoring,mobile medical treatment,and smart healthcare.

Objective:To investigate the value of 18F-FDG PET/CT imaging in the diagnosis of suspected autoimmune encephalitis (AE) in children with epilepsy and negative MRI. Methods:From May 2019 to August 2022, 94 suspected AE children (49 males, 45 females; age 1-15 years) with epilepsy and negative MRI who underwent brain 18F-FDG PET/CT imaging at Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were retrospectively analyzed. All patients were divided into AE and non-AE groups based on clinical final diagnosis. The effectiveness of visual diagnosis was evaluated. The cortical lesion extent score (S), and SUV max, SUV mean and minimum of SUV (SUV min) of cortical lesions (L), basal ganglia (B) and thalamus (T) were measured and SUV ratios (SUVR) of L/B or L/T were obtained. Independent-sample t test or Mann-Whitney U test was used to analyze data. Binary logistic regression analysis was used to screen the diagnostic factors of AE, and a diagnostic model was established. The diagnostic efficiency was evaluated by ROC curve analysis and Delong test. Results:There were 53 cases in AE group and 41 cases in non-AE group. Based on visual analysis, the sensitivity, specificity and accuracy of 18F-FDG PET/CT for AE were 100%(53/53), 43.9%(18/41) and 75.5%(71/94), respectively. Differences of LSUV max, LSUV mean, LSUV min, L/BSUVR max, L/BSUVR mean, L/BSUVR min, L/TSUVR max, L/TSUVR mean, L/TSUVR min and S between AE and non-AE groups were statistically significant ( z=-6.74, t values: from -8.51 to -3.97, all P<0.001). ROC curve analysis showed that the AUC of L/BSUVR max was the highest (0.914) among visual analysis and semi-quantitative parameters. Logistic regression analysis showed that S (odds ratio ( OR)=11.40, 95% CI: 2.18-59.52, P=0.004), L/BSUVR max( OR=13.19, 95% CI: 2.11-82.51, P=0.006) and L/TSUVR max( OR=9.66, 95% CI: 1.57-59.55, P=0.015) were independent diagnostic factors for AE. Regression model was established: P=1/(1+ e - x), x=2.433×S+ 2.580×L/BSUVR max+ 2.267×L/TSUVR max-3.802. The AUC of this model was 0.948, with the sensitivity, specificity and accuracy of 98.1%(52/53), 90.2%(37/41) and 94.7%(89/94), respectively. The diagnostic efficacy of the optimized scoring system was consistent with the pre-optimization model, and were both superior to L/BSUVR max(both z=2.01, both P=0.040). Conclusion:The diagnostic model and scoring system based on the semi-quantitative analysis of 18F-FDG PET/CT have better diagnostic efficacy for AE and are superior to semi-quantitative parameters alone.

Depression is a mental disorder with high morbidity, disability and relapse rates. Ginkgo biloba extract (GBE), a traditional Chinese medicine, has a long history of clinical application in the treatment of cerebral and mental disorders, but the key mechanism remains incompletely understood. Here we showed that GEB exerted anti-depressant effect in mice through regulating gut microbial metabolism. GBE protected against unpredictable mild stress (UMS)-induced despair, anxiety-like and social avoidance behavior in mice without sufficient brain distribution. Fecal microbiome transplantation transmitted, while antibiotic cocktail abrogated the protective effect of GBE. Spatiotemporal bacterial profiling and metabolomics assay revealed a potential involvement of Parasutterella excrementihominis and the bile acid metabolite ursodeoxycholic acid (UDCA) in the effect of GBE. UDCA administration induced depression-like behavior in mice. Together, these findings suggest that GBE acts on gut microbiome-modulated bile acid metabolism to alleviate stress-induced depression.
Humans ; Mice ; Animals ; Depression/drug therapy* ; Gastrointestinal Microbiome ; Plant Extracts ; Ginkgo biloba