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Abstract In the era of 5G, billions of terminal devices achieve global interconnection and intercommunication, which leads to the generation of massive data. However, the existing cloud‐based data‐sharing mechanism faces challenges such as sensitive information leakage and data islands, which makes it difficult to achieve secure sharing across domains. In this paper, the authors propose a fine‐grained data‐sharing scheme based on blockchain and ciphertext policy attribute‐based encryption, and design a verifiable outsourced computation method to reduce the computational pressure of end users. Second, the authors comprehensively consider the user's identity privacy and transaction privacy, and propose a multi‐level privacy protection method based on ring signature and garbled bloom filter, which enhance the user's data privacy and availability, and prevent the traceability of requests. Finally, the authors design a set of interconnected smart contracts, and verify that their scheme can achieve secure and efficient data sharing through security analysis and performance testing.

Objective Although it is an effective fixation technique for an unstable odontoid, anterior fixation remains challenging in pediatric populations. Our study measures the anatomical parameters of the odontoid to identify the feasibility of anterior fixation with a single screw for children. Methods We retrospectively collected data from 112 normal male and female children (aged between 2 and 18) in our institute from January 1, 2022 to December 31, 2022. Subjects were divided into a youth group (2–6 years old), a juvenile group (7–12 years old), and an adolescent group (13–18 years old). Sagittal and coronal computed tomography images of the upper cervical spine were used to measure the screw length, angle, and inner and outer diameters of the odontoid. One‐way analysis of variance with the Tukey test was used to analyze the parameters among the groups, while the t‐test was used to analyze gender differences. Correlations between parameters and age were assessed using Pearson's test. Results There were significant differences between male and female subjects in screw length and inner and outer diameters (of both sagittal and coronal views) but not in screw angle. The narrowest diameter of the odontoid was 4.0 ± 1.5 mm in the youth group, 5.5 ± 1.5 mm in the juvenile group, and 5.6 ± 1.1 mm in the adolescent group, respectively. There were significant differences among the three groups in screw length (p 4 mm. Screw length and inner and outer diameters in lateral view were positively correlated with age, and screw angle was negatively correlated with age. Conclusion It is feasible to insert a standard single screw (Φ 3.5 mm) into the odontoid of children aged 7–18 years old but not those aged 2–6 years old. How the anatomical parameters of the odontoid change with age, especially the narrowest diameters, is worthy of attention.

Abstract Objectives High visit‐to‐visit blood pressure variability (BPV) was found to be associated with cognitive decline in the elderly. This study aimed to investigate the impact of visit‐to‐visit BPV on cognition in patients with early‐stage Parkinson's disease (PD). Design This is a retrospective analysis of a prospective cohort. Setting and participants A total of 297 patients with early‐stage PD (103 mild cognitive impairments [PD‐MCI] and 194 normal cognitions [PD‐NC] at baseline) were included from the Parkinson's Progression Markers Initiative study. Methods Variation independent of mean (VIM) of the first year was used as the indicator of BPV. The Montreal Cognitive Assessment (MoCA) was used to assess global cognition. Patients were divided into PD‐MCI and PD‐NC according to the MoCA score at baseline. Longitudinal cerebrospinal fluid (Aβ‐42, Aβ, α‐synuclein, neurofilament light protein, tau phosphorylated at the threonine 181 position, total tau, glial fibrillary acidic protein) and serum (neurofilament light protein) biomarkers were assessed. The Bayesian linear growth model was used to evaluate the relationship between baseline BPV and the rate of change in cognition and biomarkers. Results Higher systolic VIM of the first year was related to a greater rate of decline in MoCA score in the following years in PD‐MCI (β = −.15 [95% CI −.29, −.01]). No association was found between BPV and biomarkers. Conclusion and implications Higher systolic VIM predicted a steeper decline in cognitive tests in PD‐MCI independently from the mean value of blood pressure, orthostatic hypotension, and supine hypertension.

Abstract Background Multiple system atrophy (MSA) is an incurable neurodegenerative disease. We aimed to investigate the health‐related quality of life (HRQoL) and the determinants of HRQoL in patients with MSA. Methods The five‐level EuroQol five‐dimensional questionnaire (EQ‐5D‐5L) was used to evaluate patients’ HRQoL. The results of HRQoL were indicated by the EQ‐5D‐5L index values and visual analog scale (EQ VAS) scores. Specific scales were used to measure disease severity, cognition, frontal lobe function, anxiety, depression, fatigue, and sleep disorders. The beta mixture model and the linear regression model were used to explore the determinants of HRQoL in patients with MSA. Results A total of 205 patients with cerebellar variants (MSA‐C; 53.9%) and 175 patients with parkinsonian variants (MSA‐P; 46.1%) were included in this cross‐sectional study. The mean values of the EQ‐5D‐5L index values and EQ VAS scores were .558 and 59.5, respectively. Problem with mobility was the problem reported by the highest proportion of patients (92.1%), followed by problems with usual activities (88.7%), self‐care (81.3%), anxiety/depression (72.1%), and pain/discomfort (53.9%). The determinants of the lower EQ‐5D‐5L index values in patients with MSA were greater disease severity, fatigue, Parkinson's disease‐related sleep problems (PD‐SP), depressive mood, and anxious mood. Greater disease severity, fatigue, and depressive mood were associated with lower EQ VAS scores. Conclusion The problem reported most frequently by Chinese individuals with MSA was mobility. In addition to the greater disease severity of MSA, fatigue, PD‐SP, depression, and anxiety were determinants of poor HRQoL.

Abstract Objective To evaluate whether the control status of type 2 diabetes mellitus (DM) influences the progression of Parkinson’s disease (PD). Methods We conducted a prospective cohort study from March 2009 to August 2020. Patients at baseline were categorized into DM and non‐DM groups, and those with DM were further classified into the well and poorly controlled DM groups based on the 7.0% of glycated hemoglobin (HbA1C) levels. Multivariate Cox proportional hazards regression models were used to explore the predictors for PD‐related outcomes by hazard ratios (HRs) and 95% confidence intervals (CIs). Results Of the 379 patients enrolled, 49 (12.9%) had DM, and 22 of DM (44.9%) were poorly controlled. The adjusted HRs were 2.060 (95% CI 1.165‐3.641) for United Rating Scale (UPDRS) III score increased ≥14 in the poorly controlled‐DM group, and 1.066 (95% CI 0.572‐1.986) in the well‐controlled DM group, relative to the non‐DM group (p trend = 0.025), after adjusting for sex, age, age of onset, body mass index, and UPDRS III and Montreal Cognitive Assessment (MoCA) scores at baseline. The adjusted HRs were 2.079 (95% CI 1.212‐3.566) for reaching Hoehn & Yahr stage ≥3 in the poorly controlled DM group, and 0.879 (95% CI 0.413‐1.871) in the well‐controlled DM group, compared with the non‐DM group (p trend = 0.021). Time to death or time to MoCA 3‐point decrease were not significantly different among the three groups. Interpretation Poorly controlled DM is an independent risk factor contributing to motor progression in PD. Our study highlights the importance of adequate control of diabetes in PD.