Nutrient deficiency patterns and all-cause and cardiovascular mortality in older adults with hypertension: a latent class analysis.

BACKGROUND: Previous researches examining the impact of dietary nutrition on mortality risk have mainly focused on individual nutrients, however the interaction of these nutrients has not been considered. The purpose of this study was to identify of nutrient deficiencies patterns and analyze their potential impact on mortality risk in older adults with hypertension. METHODS: We included participants from the National Health and Nutrition Examination Survey (NHANES) study. The latent class analysis (LCA) was applied to uncover specific malnutrition profiles within the sample. Risk of the end points across the phenogroups was compared using Kaplan-Meier analysis and Cox proportional hazard regression model. Multinomial logistic regression was used to determine the influencing factors of specific malnutrition profiles. RESULTS: A total of 6924 participants aged 60 years or older with hypertension from NHANES 2003-2014 was followed until December 31, 2019 with a median follow-up of 8.7 years. Various nutrients included vitamin A, vitamin B1, vitamin B12, vitamin C, vitamin D, vitamin E, vitamin K, fiber, folate, calcium, magnesium, zinc, copper, iron, and selenium, and LCA revealed 4 classes of malnutrition. Regarding all-cause mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.42 from 1.19 to 1.70) compared with "Adequate Nutrient" group, followed by "Inadequate Nutrient" group (1.29 from 1.10 to 1.50), and "Low Fiber, Magnesium, and Vit E" group (1.17 from 1.02 to 1.35). For cardiovascular mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.61 from 1.19 to 2.16) compared with "Adequate Nutrient" group, followed by "Low Fiber, Magnesium, and Vit E" group (1.51 from 1.04 to 2.20), and "Inadequate Nutrient" group (1.37 from 1.03 to 1.83). CONCLUSIONS: The study revealed a significant association between nutrients deficiency patterns and the risk of all-cause and cardiovascular mortality in older adults with hypertension. The findings suggested that nutrients deficiency pattern may be an important risk factor for mortality in older adults with hypertension.

Interactive association of the dietary oxidative balance score and cardiovascular disease with mortality in older adults: evidence from NHANES.

Objectives: We conducted an assessment to explore potential associations of the dietary oxidative balance score (DOBS), cardiovascular disease (CVD), with all-cause mortality among older adults, while also exploring the potential moderating effect of DOBS on the relationship between CVD and mortality. Methods: This study included 9059 older adults (≥60 years) from NHANES 2003-2014. Determination of DOBS involves scoring the combination of 16 nutrients, comprising 2 pro-oxidants and 14 anti-oxidants. Cox regression analysis was used to assess the individual associations of CVD and DOBS status with all-cause mortality. Additional evaluations were conducted to assess the combined impact of CVD and DOBS status on mortality, and the interaction were estimated. Sensitivity analyses were performed by excluding participants who died within two years. Results: The findings demonstrated a significant association between pro-oxidant diet (lower DOBS) or CVD and elevated mortality risk among older adults. It is also suggested that older adults with CVD and pro-oxidant diet exhibit the highest risk of all-cause mortality (HR = 1.96, 95% CI: 1.64-2.34), compared to individuals without CVD who follow an antioxidant-rich diet. Further stratified analysis based on CVD status revealed a different pattern in the correlation between pro-oxidant diet and all-cause mortality risk (P for interaction = 0.015). The results of sensitivity analysis were consistent. Conclusions: The lower levels of DOBS and/or CVD were significantly associated with an increased risk of all-cause mortality in older adults. Notably, we also identified a significant interaction between DOBS and CVD affecting all-cause mortality.

Exploring the interplay between core and mood symptoms in schizophrenia: A network analysis.

BACKGROUND: Schizophrenia is a complex neuropsychiatric disorder characterized by positive symptoms, negative symptoms, cognitive deficits, and co-occurring mood symptoms. Network analysis offers a novel approach to investigate the intricate relationships between these symptom dimensions, potentially informing personalized treatment strategies. METHODS: A cross-sectional study was conducted from November 2019 to October 2021, involving 1285 inpatients with schizophrenia in Liaoning Province, China. Symptom severity was assessed using the Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HAMD-17), Hamilton Anxiety Rating Scale (HAMA-14), and Montreal Cognitive Assessment (MoCA). Network analysis was conducted to investigate the network structure, central symptoms, and bridge symptoms. RESULTS: The network analysis uncovered profound interconnectivity between core symptoms and the anxiety-depression community. Central symptoms, such as psychic anxiety, poor rapport, delusions, and attention, were identified as potential therapeutic targets. Bridge symptoms, including insomnia, depressed mood, anxiety-somatic, conceptual disorganization, and stereotyped thinking, emerged as key nodes facilitating interactions between symptom communities. The stability and reliability of the networks were confirmed through bootstrapping procedures. DISCUSSION: The findings highlight the complex interplay between schizophrenia symptoms, emphasizing the importance of targeting affective symptoms and cognitive impairment in treatment. The identification of central and bridge symptoms suggests potential pathways for personalized interventions aimed at disrupting self-reinforcing symptom cycles. The study underscores the need for a transdiagnostic, personalized approach to schizophrenia treatment.

An Electrode-Crosstalk-Suppressing Smart Polymer Electrolyte for High Safety Lithium-Ion Batteries.

Electrode crosstalk between anode and cathode at elevated temperatures is identified as a real culprit triggering the thermal runaway of lithium-ion batteries. Herein, to address this challenge, a novel smart polymer electrolyte is prepared through in situ polymerization of methyl methacrylate and acrylic anhydride monomers within a succinonitrile-based dual-anion deep eutectic solvent. Owing to the abundant active unsaturated double bonds on the as-obtained polymer matrix end, this smart polymer electrolyte can spontaneously form a dense crosslinked polymer network under elevated temperatures, effectively slowing down the crosstalk diffusion kinetics of lithium ions and active gases. Impressively, LiCoO2/graphite pouch cells employing this smart polymer electrolyte demonstrate no thermal runaway even at the temperature up to 250 °C via accelerating rate calorimeter testing. Meanwhile, because of its abundance of functional motifs, this smart polymer electrolyte can facilitate the formation of stable and thermally robust electrode/electrolyte interface on both electrodes, ensuring the long cycle life and high safety of LIBs. In specific, this smart polymer electrolyte endows 1.1 Ah LiCoO2/graphite pouch cell with a capacity retention of 96% after 398 cycles at 0.2 C.

Covalently Cross-Linked Chemistry of a Three-Dimensional Network Binder at Limited Dosage Enables Practical Si/C Composite Electrode Applications.

Currently, Si (or SiOx, 1 < x < 2) and graphite composite (Si/C) electrodes (e.g., Si/C450 and Si/C600 with specific capacities of 450 and 600 mAh g-1 at 0.1 C, respectively) have become the most promising alternative to traditional graphite anodes toward high-energy lithium-ion battery (LIB) applications by virtue of their higher specific capacity compared to graphite ones and improved cycle performance compared to Si (or SiOx) ones. However, such composite electrodes remain challenging to practical for implementation owing to electrode structure disintegration and interfacial instability caused by a large volume change of inner Si-based particles. Herein, we develop a covalent-bond cross-linking network binder for Si/C450 and Si/C600 electrodes via reversible addition-fragmentation chain transfer (RAFT) polymerization. The as-developed binder with a 3 mol % cross-linker of other monomers [termed P(SH-BA3%)] achieves improved mechanical and adhesive properties and decreased Si/C anode volume expansion, compared to the linear binder counterpart. Impressively, the P(SH-BA3%) binder at only 3 wt % dosage enables 83.56% capacity retention after 600 cycles at 0.5 C in Si/C450 anode based half-cells and retains 86.42% capacity retention at 0.3 C after 200 cycles and 80.95% capacity retention at 0.5 C after 300 cycles in LiNi0.8Co0.1Mn0.1O2 cathode (15 mg cm-2) based homemade soft package full cells. This work provides insight into binder cross-linking chemistry under limited dosage and enlightens cross-linking binder design toward practical Si/C electrode applications.