Objective To evaluate the olfactory function and its influence factors by using Sniffin ’ Sticks test, and to compare the quality of Parkinson ’s disease (PD) recognition between Sniffin’ Sticks and 16 kinds of odor identification in Sniffin ’ Sticks(SS-16) tests.Methods The Sniffin’Sticks test was used to assess the olfactory function of 68 PD patients and 76 healthy volunteers , and the relationship between smell and age, disease duration, Unified Parkinson’ s Disease Rating Scale score, Hoehn-Yahr (H-Y) rating, and cognitive function level (Montreal Cognitive Assessment) was analyzed.Results (1)The prevalence of olfactory dysfunction in PD group (83.3%) was significantly higher than that in control group (21.2%).The Sniffin’ Sticks test showed that the odor threshold score (6.6 ±3.2, P=0.000), odor discrimination score (6.6 ±3.3, P=0.000), 16 kinds of odor identification score (6.8 ±2.4, P=0.000) in PD group were significantly lower than those in control group.( 2 ) When comparing the PD cases and healthy controls in recognition , the sensitivity and the specificity of the Sniffin ’ Sticks test were 0.897 and 0.737, respectively, similar to the SS-16 test.However, the Sniffin’ Sticks test showed advantage compared with odor threshold and odor discrimination.( 3 ) The olfactory score in PD group was positively correlated with cognitive function (r=0.243, P=0.046), and was unrelated with age, gender, disease duration, and disease severity.The olfactory score in control group was negatively correlated with age (r=-0.270, P=0.018), but positively correlated with cognitive function (r=0.281, P=0.014).Conclusions There is a higher incidence of olfactory dysfunction in PD patients than in control group.Sniffin’ Sticks test is superior to SS-16 test in quantitative and qualitative analysis of olfactory function in PD patients.Two tests both have high sensitivity and specificity in the recognition of PD .

Objective:To design a large-scale mobile emergency resuscitation unit based on 5G communication technology to improve the efficiency of prehospital transportation and treatment.Methods:The study was conducted in Hangzhou from November 2022 to September 2023. It's sorted out the application scenario requirements for prehospital first aid, transfer, and prehospital-intrahospital emergency linkage in carrying out the program design, single technology testing, onboard debugging, and integration debugging phases sequentially.Results:In September 2023, a large-scale 5G mobile emergency resuscitation unit was completed and delivered. The unit was converted from an electric bus and consists of five parts: (1) Vehicle appearance: the vehicle is 12.9 meters long, 2.3 meters wide and 2.6 meters high, with a single mileage of 200 kilometers; (2) The overall internal structure: the vehicle has one resuscitation bed and two stretcher positions. Additionally, there is a comprehensive operating table located at the front of the vehicle. The middle of the vehicle is equipped with a central digital control screen. (3) First aid materials and instruments: the vehicle's materials are modularly configured in accordance with the resuscitation, guardianship, surgery, inspection and testing, Communication modular configuration, equipped with a defibrillation monitor, transfer ventilator, extracorporeal membrane lung oxygenation and other critical care first aid and electrocardiogram, digital radiography, blood gas analyzer, chest pain 5 monitors and other inspection and testing equipment; (4) Vehicle communication and information systems: equipped with high-definition remote video interactive system, telemedicine terminal DP300 integrated system, a real-time panoramic experience system and centralized guardianship system; (5) Vehicle disinfection: a plasma disinfector installed on the top of the car can meet the hospital disinfection hygiene standardsⅡ class environmental management requirements.Conclusions:Incorporating 5G communication technology, the large-scale mobile emergency resuscitation unit is equipped with various advanced treatment equipment and remote consultation systems. It can accommodate the resuscitation needs of the most critically ill patients, offering substantial support for public emergency rescues. Further exploration of its potential is merited.

OBJECTIVES: This study aimed to investigate the associations of obesity phenotypes with hypertension stages, phenotypes, and transitions among middle-aged and older Chinese. METHODS: Using the 2011-2015 waves of the China Health and Retirement Longitudinal Study, we conducted a cross-sectional analysis included 9,015 subjects and a longitudinal analysis included 4,961 subjects, with 4,872 having full data on the hypertension stage and 4,784 having full data on the hypertension phenotype. Based on body mass index and waist circumstance, subjects were categorized into 4 mutually exclusive obesity phenotypes: normal weight with no central obesity (NWNCO), abnormal weight with no central obesity (AWNCO), normal weight with central obesity (NWCO), and abnormal weight with central obesity (AWCO). Hypertension stages were classified into normotension, pre-hypertension, stage 1 hypertension, and stage 2 hypertension. Hypertension phenotypes were categorized as normotension, pre-hypertension, isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic-diastolic hypertension (SDH). The association between obesity phenotypes and hypertension was estimated by logistic regression. A comparison between different sexes was conducted by testing the interaction effect of sex. RESULTS: NWCO was associated with normal→stage 2 (odds ratio [OR], 1.95; 95% confidence interval [CI], 1.11 to 3.42), maintained stage 1 (OR, 1.62; 95% CI, 1.14 to 2.29), and normal→ISH (OR, 1.39; 95% CI, 1.05 to 1.85). AWCO was associated with normal→stage 1 (OR, 1.75; 95% CI, 1.40 to 2.19), maintained stage 1 (OR, 2.77; 95% CI, 2.06 to 3.72), maintained stage 2 (OR, 2.80; 95% CI, 1.50 to 5.25), normal→ISH (OR, 1.56; 95% CI, 1.20 to 2.02), and normal→SDH (OR, 2.54; 95% CI, 1.72 to 3.75). An interaction effect of sex existed in the association between obesity phenotypes and hypertension stages. CONCLUSIONS This study highlights the importance of various obesity phenotypes and sex differences in hypertension progression. Tailored interventions for different obesity phenotypes may be warranted in hypertension management, taking into account sex-specific differences to improve outcomes.