Thermally tunable anti-ambipolar heterojunction devices.

Two-dimensional materials and their van der Waals heterostructures have emerged as a research focal point for constructing various innovative electronic devices due to their distinct photonic and electronic properties. Among them, anti-ambipolar devices, characterized by their unique nonlinear electrical behavior, have garnered attention as novel multifunctional components, positioning them as potential contenders for building multi-state logic devices. Utilizing the properties of few-layer As0.4P0.6 and PdSe2, we have constructed an anti-ambipolar heterojunction device. At 300 K, the device exhibits a peak voltage (Vpeak) of -3 V and a peak-to-valley ratio (PVR) close to 8 × 103, and the PVR can be modulated by bias voltage. Furthermore, by characterizing the anti-ambipolar attributes at different temperatures ranging from 80 K to 330 K, we have elucidated the thermally tunable feature of the device. At 330 K, a certain PVR (∼103) and a large Vpeak (∼-16 V) are obtained, while a PVR exceeding 108 has been achieved at 80 K. This temperature-related sensitivity empowers the device with significant potential and thermal tunability in various applications.

Based on 3D-PDU and clinical characteristics nomogram for prediction of lymph node metastasis and lymph-vascular space invasion of early cervical cancer preoperatively.

PURPOSE: To develop and validate a nomogram based on 3D-PDU parameters and clinical characteristics to predict LNM and LVSI in early-stage cervical cancer preoperatively. MATERIALS AND METHODS: A total of first diagnosis 138 patients with cervical cancer who had undergone 3D-PDU examination before radical hysterectomy plus lymph dissection between 2014 and 2019 were enrolled for this study. Multivariate logistic regression analyses were performed to analyze the 3D-PDU parameters and selected clinicopathologic features and develop a nomogram to predict the probability of LNM and LVSI in the early stage. ROC curve was used to evaluate model differentiation, calibration curve and Hosmer-Lemeshow test were used to evaluate calibration, and DCA was used to evaluate clinical practicability. RESULTS: Menopause status, FIGO stage and VI were independent predictors of LNM. BMI and maximum tumor diameter were independent predictors of LVSI. The predicted AUC of the LNM and LSVI models were 0.845 (95%CI,0.765-0.926) and 0.714 (95%CI,0.615-0.813). Calibration curve and H-L test (LNM groups P = 0.478; LVSI P = 0.783) all showed that the predicted value of the model had a good fit with the actual observed value, and DCA indicated that the model had a good clinical net benefit. CONCLUSION: The proposed nomogram based on 3D-PDU parameters and clinical characteristics has been proposed to predict LNM and LVSI with high accuracy, demonstrating for the first time the potential of non-invasive prediction. The probability derived from this nomogram may have the potential to provide valuable guidance for physicians to develop clinical individualized treatment plans of FIGO patients with early cervical cancer.

Association between hemoglobin level and cognitive profile in old adults: A cross-sectional survey.

OBJECTIVE: In the present study, the association between Hemoglobin (HGB) level and cognitive profile was investigated and whether it affected the dementia risk in older adults. METHODS: A cross-sectional population-based survey that included 3519 individuals ≥65 years of age was conducted in 2019. Basic demographic characteristics were collected. The neuropsychological assessments and blood tests were administered to evaluate cognition and HGB level. Generalized additive models were used to analyze the non-linear association between HGB levels and cognitive function. Logistics regression models were utilized to analyze the associations between HGB level and dementia risk. RESULTS: Overall, 459 (12.7%) participants were diagnosed with dementia and there were more females (54.7%) than males (45.3%). The number of subjects with anemia (3%) or hyperhemoglobinemia (5.2%) was higher than participants with normal HGB level. A visual representation of the relationship between HGB level and Mini-Mental State Examination (MMSE) score showed an inverted U-curve, which is more evident in female. Logistics regression models showed that anemia (odds ratio, OR = 1.826, 95% confidence interval, CI: 1.166-2.860, p < 0.01), but not hyperhemoglobinemia, significantly increased the risk of dementia. These trends were not the same for males and females. An abnormal HGB level had greater effects in females, resulting in higher risk of dementia for females with anemia or hyperhemoglobinemia than subjects with normal HGB level including males. CONCLUSION: Both low and high HGB levels can lead to cognitive decline in the incidence of dementia, indicating an inverted U-shaped curve association may exist between HGB level and global cognitive profile.

Prevalence and risk factors of stroke in a rural area of northern China: a 10-year comparative study.

BACKGROUND AND AIMS: Stroke is currently the leading cause of death in China; however, the past decade has produced no new epidemiological studies of stroke. Therefore, the current study aimed to compare the prevalence and risk factors of stroke between 2010 and 2019. METHODS: A comparative study was used to analyze the prevalence of risk factors for stroke in a population aged 65 years or older between 2010 and 2019. Demographic characteristics, risk factors, medical history, and other clinical characteristics were collected for all participants via door-to-door interviews and inpatient hospital records. RESULTS: The standardized prevalence of stroke was 7.9% in 2010 and 14.2% in 2019 (p < 0.001). The prevalence of stroke was significantly higher in men than in women (p < 0.05) for all age groups. The risk factors of stroke were being male, hypertension, and diabetes mellitus in both 2010 and 2019. When comparing the risk factors between 2010 and 2019, these risk factors were statistically significantly more strongly associated with stroke in 2019 than in 2010. CONCLUSION: The current study suggests that the prevalence of stroke increased nearly by twofold in a population aged 65 years or older within the past 10 years. Hypertension, diabetes mellitus, and being male were the primary risk factors. In addition, these factors were more significantly associated with stroke in 2019 compared to 2010.

Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology.

OBJECTIVE: The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting and Data System (O-RADS) for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. METHODS: A total of 243 patients with data on adnexal masses with complex ultrasound morphology from January 2019 to December 2020 were selected to establish the training cohort, while 106 patients with data from January 2021 to December 2021 served as the validation cohort. Univariate and multivariate analyses were used to determine independent risk factors for malignant tumors in the training cohort. Subsequently, a predictive nomogram model was developed and validated in the validation cohort. The calibration, discrimination, and clinical net benefit of the nomogram model were assessed separately by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, we compared this model to the O-RADS. RESULTS: The O-RADS category, an elevated CA125 level, acoustic shadowing and a papillary projection with color Doppler flow were the independent predictors and were incorporated into the nomogram model. The area under the ROC curve (AUC) of the nomogram model was 0.958 (95% CI, 0.932-0.984) in the training cohort. The specificity and sensitivity were 0.939 and 0.893, respectively. This nomogram also showed good discrimination in the validation cohort (AUC = 0.940, 95% CI, 0.899-0.981), with a sensitivity of 0.915 and specificity of 0.797. In addition, the nomogram model showed good calibration efficiency in both the training and validation cohorts. DCA indicated that the nomogram was clinically useful. Furthermore, the nomogram model had higher AUC and net benefit than the O-RADS. CONCLUSION: The nomogram based on the O-RADS showed a good predictive ability for the malignancy risk of adnexal masses with complex ultrasound morphology and could provide help for junior sonographers.

Autonomic symptoms are predictive of dementia with Lewy bodies.

INTRODUCTION: Autonomic symptoms are common in patients with dementia with Lewy bodies (DLB). Although autonomic dysfunction is considered as one of the primary early markers in patients with DLB, there are few studies that examine the timing of the onset of autonomic symptoms in these patients. The purpose of the current study was to evaluate the time of onset of autonomic symptoms in patients with DLB using a questionnaire. METHODS: Autonomic symptoms were evaluated in patients with DLB using the Scales for Outcomes in Parkinson's disease - autonomic (SCOPA-Aut) questionnaire. Time of the onset of autonomic symptoms of patients with DLB was also assessed relative to that of memory loss. RESULTS: A total of 106 patients with DLB were included. The most frequent symptom of dysautonomia in patients with DLB was constipation (60.4%), followed by orthostatic dizziness (33%), urinary frequency (30.2%), and daytime hyperhidrosis (22.6%). The gastrointestinal system was the most prominent system of autonomic dysfunction in patients with DLB. Orthostatic dizziness, daytime hyperhidrosis, and constipation all preceded the onset of memory loss by 0.2 ± 4.9, 3.3 ± 8.6, and 3.7 ± 9.2 years, respectively, while urinary incontinence occurred 1.7 ± 1.5 years following the onset of memory loss. CONCLUSION: Many autonomic symptoms precede the onset of memory loss in patients with DLB, especially constipation and daytime hyperhidrosis. These symptoms can facilitate an early diagnosis of patients with DLB.

Epidemiology of Constipation in Elderly People in Parts of China: A Multicenter Study.

Purpose: To investigate the epidemiological characteristics of constipation in people aged 65 years and older in several regions of China. Patients and Methods: A cross-sectional study based on a cluster sampling design was conducted in four cities of China: Tianjin, Xiamen, Cangzhou and Harbin. A total of 5,222 cases (age ≥ 65 years) were recruited, and the survey was conducted via centralized and household questionnaires that included the following: basic demographic characteristics such as sex, age, education, marital status, living status and occupation; social activities; duration of sleep at night; duration of menstruation and delivery times (in females); and if the participant had constipation symptoms, the severity of constipation. Constipation was diagnosed according to the Rome IV criteria. Results: Of the 5,222 participants, 919 were diagnosed with constipation. The prevalence of constipation was 17.60% in elderly people ≥65 years old. Prevalence increased with age and was significantly higher in females than males (P < 0.05). Prevalence was lower in the manual compared to the non-manual worker group, and significantly increased with decreasing duration of night sleep (P < 0.05). Older age, female sex and shorter sleep duration at night were risk factors for constipation in elderly people. Conclusion: The prevalence of constipation in the elderly people in four cities of China was 17.60%, and was significantly affected by age, sex and sleep duration at night.

Characteristics of Cortical Atrophy and White Matter Lesions Between Dementia With Lewy Bodies and Alzheimer's Disease: A Case-Control Study.

Introduction: Currently, there is still clinical overlap between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) patients, which may affect the accuracy of the early diagnosis of DLB. For better diagnosis and prognosis, further exploration of local cortical atrophy patterns and white matter lesions is needed. Methods: We reviewed the outpatient medical records of 97 DLB patients and 173 AD patients from January 2018 to September 2020 along with 30 matched outpatient clinic normal elderly people. MRI visual rating scales, including medial temporal lobe atrophy (MTA), global cortical atrophy-frontal subscale (GCA-F), posterior atrophy (PA), Fazekas scale, Evans Index and cerebral microbleeds were evaluated and analyzed in DLB and AD patients with different severities and normal controls. Results: Overall, patients with DLB had higher scores on all visual rating scales than the normal controls. Meanwhile, compared with AD, DLB had lower MTA scores in the mild to moderate groups (both p ≤ 0.001), but the GCA-F and PA scores were similar (all p > 0.05). The Fazekas scores in the moderate to severe DLB group were lower than those in the AD group (p = 0.024 and p = 0.027, respectively). In addition, the diagnostic performance and sensitivity of multiple imaging indicators for DLB were better than that of MTA alone (the combination of MTA, GCA-F, PA, Fazekas visual rating scales, AUC = 0.756, 95%CI: 0.700-0.813, sensitivity = 0.647, specificity = 0.804 and MTA visual rating scale, AUC = 0.726, 95%CI: 0.667-0.785, sensitivity = 0.497, specificity = 0.876, respectively). Conclusion: The medial temporal lobe of DLB patients was relatively preserved, the frontal and parietal lobes were similarly atrophied to AD patients, and the white matter hyperintensity was lighter than that in AD patients. Combined multiple visual rating scales may provide a novel idea for the diagnosis of early DLB.

The Impact of the COVID-19 Pandemic and Lockdown on Mild Cognitive Impairment, Alzheimer's Disease and Dementia With Lewy Bodies in China: A 1-Year Follow-Up Study.

Background: While the lockdown strategies taken by many countries effectively limited the spread of COVID-19, those were thought to have a negative impact on older people. This study aimed to investigate the impact of lockdown on cognitive function and neuropsychiatric symptoms over a 1-year follow-up period in patients with mild cognitive impairment (MCI), Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). Methods: We enrolled consecutive patients with MCI, probable AD or DLB who were receiving outpatient memory care before the COVID-19 pandemic and followed-up with them after 1 year by face-to-face during the COVID-19 pandemic to assess changes in physical activity, social contact, cognitive function and neuropsychiatric symptoms (NPS). Results: Total 105 probable AD, 50 MCI and 22 probable DLB patients were included and completed the 1-year follow-up between October 31 and November 30, 2020. Among the respondents, 42% of MCI, 54.3% of AD and 72.7% of DLB patients had a decline in MMSE scores and 54.4% of DLB patients had worsening Neuropsychiatric inventory (NPI) scores. Patients with DLB showed a more rapid decline of MMSE than those with AD. Diminished physical activity and social contact might have hastened the deterioration of cognition and the worsening of NPS. Conclusion: Social isolation and physical inactivity even after strict lockdown for at least 6 months were correlated with accelerated decline of cognitive function and NPS in patients with AD and DLB.

The clinical characteristics and subtypes of patients with cognitive impairment in memory clinic.

To explore the demographic characteristics and main types of memory impairment in the Memory Clinic of China and to provide references for future research. Demographic, cognitive, and etiological data of 2,742 cognitive impairment (CI) patients who were in the Memory Clinic at Tianjin Huanhu Hospital from January 2011 to October 2018 were analyzed. The main subtypes of CI were AD (38.33%), MCI (19.55%), VaD (8.57%), FTLD (7.37%) and DLB/PDD (5.91%). The mean age was 68.5 ± 9.97, with 82.13% older than 60 years. There were slightly more females (50.58%) than males (49.42%). There were a relatively equal number of patients who were educated less than (55.12%) and more than nine years (44.88%). Most patients (82.91%) were married and only 23.63% patients had a family history of CI. CI occurred primarily in the elderly, namely those who were between 60 and 79 years old. More than half of those with AD, DLB, PDD, and FTLD were categorized at mild or moderate levels. The bvFTD (n = 127, 62.9%) was the primary subtype of FTLD. Standardized diagnostic procedures, detailed neuropsychological assessments, molecular biology tests, and follow-ups are important for the early diagnosis and treatment of cognitive impairment diseases.