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Abstract Objective This study aimed to develop and validate a nomogram for assessing the risk of nosocomial infections among obstetric inpatients, providing a valuable reference for predicting and mitigating the risk of postpartum infections. Methods A retrospective observational study was performed on a cohort of 28,608 obstetric patients admitted for childbirth between 2017 and 2022. Data from the year 2022, comprising 4,153 inpatients, were utilized for model validation. Univariable and multivariable stepwise logistic regression analyses were employed to identify the factors influencing nosocomial infections among obstetric inpatients. A nomogram was subsequently developed based on the final predictive model. The receiver operating characteristic (ROC) curve was utilized to calculate the area under the curve (AUC) to evaluate the predictive accuracy of the nomogram in both the training and validation datasets. Results The gestational weeks > = 37, prenatal anemia, prenatal hypoproteinemia, premature rupture of membranes (PROM), cesarean sction, operative delivery, adverse birth outcomes, length of hospitalization (days) > 5, CVC use and catheterization of ureter were included in the ultimate prediction model. The AUC of the nomogram was 0.828 (0.823, 0.833) in the training dataset and 0.855 (0.844, 0.865) in the validation dataset. Conclusion Through a large-scale retrospective study conducted in China, we developed and independently validated a nomogram to enable personalized postpartum infections risk estimates for obstetric inpatients. Its clinical application can facilitate early identification of high-risk groups, enabling timely infection prevention and control measures.

Abstract Purpose Serum neurofilament light chain (sNfL) can reflect nerve damage. Whether migraine can cause neurological damage remain unclear. This study assesses sNfL levels in migraine patients and explores whether there is nerve damage in migraine. Methods A case–control study was conducted in Xiamen, China. A total of 138 migraine patients and 70 healthy controls were recruited. sNfL (pg/mL) was measured on the single-molecule array platform. Univariate, Pearson correlation and linear regression analysis were used to assess the relationship between migraine and sNfL levels, with further subgroup analysis by migraine characteristics. Results Overall, 85.10% of the 208 subjects were female, with a median age of 36 years. sNfL levels were higher in the migraine group than in the control group (4.85 (3.49, 6.62) vs. 4.11 (3.22, 5.59)), but the difference was not significant (P = 0.133). The two groups showed an almost consistent trend in which sNfL levels increased significantly with age. Subgroup analysis showed a significant increase in sNfL levels in patients with a migraine course ≥ 10 years (β = 0.693 (0.168, 1.220), P = 0.010). Regression analysis results show that age and migraine course are independent risk factors for elevated sNfL levels, and there is an interaction between the two factors. Patients aged

Searching for good-natured feedstocks and understanding the texture property of porous carbon/specific capacitance relationships have long been highly desirable. Herein, hydrothermal and KOH were used to assist the synthesis of lignin-derived porous carbons (LPCs) with high specific surface area for supercapacitors. The as-synthesized LPC-150 and LPC-200 had a specific surface area of 3033.88 m2/g and 3178.36 m2/g, respectively, with a specific capacitance of 214.03 F/g and 201.69 F/g at 0.50 A/g. In the range from 2448 m2/g to 3178 m2/g, increasing the specific surface area again possesses no remarkable effect on the specific capacitance. Meanwhile, the specific surface area and the pore-wall thickness together determine the specific capacitance. When using a three-electrode configuration with a 6 mol/L KOH electrolyte, the volumetric surface area rather than the ultrahigh specific surface area can be employed as a general predictor of specific capacitance in the low current density ranging from 0.50 to 10.00 A/g.

Abstract Background Smartphone use has become an increasingly pervasive part of our daily lives, and as a portable media device, smartphones provide good support for cognitive training during aging. However, little is known about the joint association of smartphone use and gender on the cognitive health of older adults, particularly with regard to multi-domain cognition. Methods A face-to-face survey of 3230 older adults aged 60+ years was conducted in Xiamen, China, in 2016. The Montreal Cognitive Assessment (MoCA) score was used to measure both general and multi-domain cognition. Smartphone use was self-reported and the number of the smartphone functions used (NSFU) was classified as 0, 1, and 2+. General and subdomain cognitive functions were modelled on NSFU only, gender only, and NSFU and gender combined by using a series of proportional-odds cumulative logit models. Furthermore, joint associations of gender and NSFU on both general and multi-domain cognition were estimated, and a four-category quantile classification was used to evaluate the total MoCA score. Results Among all 3230 respondents, 2600 remained after exclusion of respondents with very low MoCA scores (below the education-adjusted cut-offs for dementia). Only 29.96% of older adults used smartphones, 473 (60.72%) of which were men. Respondents who had a higher NSFU maintained a better general and sub-domain cognition except for memory and orientation. Although women had lower values compared to men in visuospatial ability (OR (95% CI): 0.46 (0.37–0.57)), they outperformed their male counterparts in memory (OR (95% CI): 1.38 (1.10–1.73)). The results of the joint association showed that women’s inferiority in visuospatial ability diminished when they had a NSFU of 2+. However, a significantly better improvement in memory for male was achieved when they had a NSFU of 1 rather than 2 + . Conclusions A higher NSFU was positively associated with increased general and partial subdomain cognitive functions. However, gender differences were found in visuospatial ability and memory, which could be alleviated by smartphone use.

Introduction The incidence of cancer-associated ischaemic stroke (IS) is increasingly prevalent. This study aimed to assess the levels of enlarged perivascular spaces in basal ganglion (BG-EPVS) in cancer-associated patients who had a stroke compared with the control group, and to investigate the diagnostic utility of BG-EPVS in the context of cancer-associated stroke.Method A matched case–control study was conducted in Xiamen, China. A total of 184 IS patients (cancer vs control=1:1) were recruited. The severity of BG-EPVS was graded using high-resolution MRI. Patients’ gender, age, clinical risk factors, other imaging changes and laboratory findings information at admission were collected. Logistic regression models were constructed and subgroup analysis by cancer treatment.Result Overall, 65.22% of the 184 subjects were male, with a mean (SD) age of 68.83±10.52 years. BG-EPVS had a significant influence on cancer-associated stroke (OR=1.85 (95% CI 1.29, 2.71), p=0.001) after adjusting for gender, age, clinical risk factors, other imaging changes and laboratory findings. The area under the curve of the diagnosis model that combined BG-EPVS and other factors was 0.848 (95% CI 0.787, 0.896), significantly higher than the other three models. Subgroup analysis suggested a heightened association between BG-EPVS and cancer-associated stroke within the cancer treatment group.Conclusion In conclusion, this is the first study to assess the diagnosis values of BG-EPVS on cancer-associated stroke and helps us understand the pathogenesis of cancer-associated stroke. Our findings demonstrate the effectiveness of BG-EPVS in diagnosing IS patients who may carry underlying cancer.