Interaction of sex, age, body mass index and race on hypertension risk in the American population: a cross-sectional study.

BACKGROUND: The joint effects of sex, age, body mass index (BMI) and race on hypertension have not been fully addressed. Herein, we carried out this study aiming to investigate the possible effects of the interaction of sex, age, BMI and race on risk of hypertension. METHODS: By using the data of a sample-adjusted 2656 women and 2515 men in American National Health and Nutrition Examination Survey 2015-16, we analyzed the interaction of sex, age, BMI and race by logistic regression models, followed by strata-specific analyses. Hypertension was defined as a systolic blood pressure ≥130 mmHg/diastolic blood pressure ≥80 mmHg or taking anti-hypertensive medication. RESULTS: A total of 5171 participants were included in analysis, and the prevalence of hypertension was 53.68%. The interactive effect of sex and age, BMI and age, race and age were statistically significant on hypertension. Strata-specific analyses showed that female at 40 years and above were positively associated with hypertension than those at 20-39 years. The associations also persistence in male. The risk estimates for age ≥40 on hypertension were consistently positive across all overweight/obesity and race groups. The effect was most prominent among overweight populations aged 60-80 years and Other Hispanic aged 40 years and above. CONCLUSION: There exists interactive effect of sex and age, BMI and age, race and age on hypertension in American population. The effect of age on hypertension was more prominent in female, overweight populations and Other Hispanic populations. Differences in age, BMI and race should be considered when providing corresponding antihypertensive measures.

[Design and verification of microelectrode twisting machine].

As an interface between external electronic devices and internal neural nuclei, microelectrodes play an important role in many fields, such as animal robots, deep brain stimulation and neural prostheses. Aiming at the problem of high price and complicated fabrication process of microelectrode, a microelectrode twisting machine based on open source electronic prototyping platform (Arduino) and three-dimensional printing technology was proposed, and its microelectrode fabrication performance and neural stimulation performance were verified. The results show that during the fabrication of microelectrodes, the number of positive twisting turns of the electrode wire should generally be set to about 1.8 times of its length, and the number of reverse twisting rings is independent of the length, generally about 5. Moreover, compared with the traditional instrument, the device is not only inexpensive and simple to manufacture, but also has good expandability. It has a positive significance for both the personalization and popularization of microelectrode fabrication and the reduction of experimental cost.

Realization of Fine-Tuning the Lattice Thermal Conductivity and Anharmonicity in Layered Semiconductors via Entropy Engineering.

Entropy engineering is widely proven to be effective in achieving ultra-low thermal conductivity for well-performed thermoelectric and heat management applications. However, no strong correlation between entropy and lattice thermal conductivity is found until now, and the fine-tuning of thermal conductivity continuously via entropy-engineering in a wide entropy range is still lacking. Here, a series of high-entropy layered semiconductors, Ni1- x(Fe0.25Co0.25Mn0.25Zn0.25)xPS3, where 0 ≤ x < 1, with low mass/size disorder is designed. High-purity samples with mixing configuration entropy of metal atomic site in a wide range of 0-1.61R are achieved. Umklapp phonon-phonon scattering is found to be the dominating phonon scattering mechanism, as revealed by the linear T-1 dependence of thermal conductivity. Meanwhile, fine tuning of the lattice thermal conductivity via continuous entropy engineering at metal atomic sites is achieved, in an almost linear dependence in middle-/high- entropy range. Moreover, the slope of the κ - T-1 curve reduces with the increase in entropy, and a linear response of the reduced Grüneisen parameter is revealed. This work provides an entropy engineering strategy by choosing multiple metal elements with low mass/size disorder to achieve the fine tuning of the lattice thermal conductivity and the anharmonic effect.

Relative Fuzzy Rough Approximations for Feature Selection and Classification.

Fuzzy rough set (FRS) theory is generally used to measure the uncertainty of data. However, this theory cannot work well when the class density of a data distribution differs greatly. In this work, a relative distance measure is first proposed to fit the mentioned data distribution. Based on the measure, a relative FRS model is introduced to remedy the mentioned imperfection of classical FRSs. Then, the positive region, negative region, and boundary region are defined to measure the uncertainty of data with the relative FRSs. Besides, a relative fuzzy dependency is defined to evaluate the importance of features to decision. With the proposed feature evaluation, we propose a feature selection algorithm and design a classifier based on the maximal positive region. The classification principle is that an unlabeled sample will be classified into the class corresponding to the maximal degree of the positive region. Experimental results show the relative fuzzy dependency is an effective and efficient measure for evaluating features, and the proposed feature selection algorithm presents better performance than some classical algorithms. Besides, it also shows the proposed classifier can achieve slightly better performance than the KNN classifier, which demonstrates that the maximal positive region-based classifier is effective and feasible.

Risk factors for at-risk foot and peripheral artery disease among the population with diabetes: A multicommunity-based cross-sectional study.

AIMS: This study aimed to investigate the prevalence, characteristics, and influence factors of the at-risk foot with diabetes mellitus (DM). METHODS: This study included 3030 DM patients from the at-risk foot screening program of Shanghai in China between March 21 and April 30 in 2021. Data were collected from the questionnaire survey, physical examination, and fasting blood sample. RESULTS: The prevalence of at-risk foot was 27.8% among DM patients. After adjusted, the risk of higher at-risk grade increased with age and urinary albumin creatinine ratio (OR = 1.04, 95%CI = 1.02-1.06; OR = 1.001, 95%CI = 1.000-1.002, respectively), whereas decreased with estimated glomerular filtration rate (eGFR) (OR = 0.991, 95%CI = 0.984-0.998). The incidence of peripheral artery disease (PAD) was 11.1% in all people with DM, and age, pulse rate, and low-density lipoprotein were independent risk factors for PAD. In contrast, high-density lipoprotein, eGFR, and lymphocyte-to-monocyte ratio were independent protective factors for PAD. Glycated hemoglobin HbA1c was not an independent risk factor for increased risk grade or more severe PAD. CONCLUSIONS: The at-risk foot accounted for a high percentage among DM patients. Advanced age and renal dysfunction are independent risk factors for the at-risk foot. Glycemic control does not reduce the risk grade of at-risk foot and the incidence of PAD.

Gliclazide-Induced Insulin Autoimmune Syndrome: A Rare Case Report and Review on Literature.

BACKGROUND: Insulin Autoimmune Syndrome (IAS) is a rare condition characterized by the combination of recurrent severely spontaneous hypoglycemia without evidence of exogenous insulin administration, high concentration of total serum insulin, and the presence of a high titer of insulin autoantibody (IAA). But now we describe a case with IAS caused by gliclazide and hardly occuring hypoglycemia. CASE REPORT: A 70-year-old man with type 2 diabetes presented to our department with poor glycemic control without evidence of hypoglycemia, but the levels of serum insulin and IAA were very high. He had no exogenous insulin administration history. Switching antidiabetic therapy from gliclazide to acarbose and metformin, the patient's serum insulin level and IAA decreased gradually. Accordingly, the glycemic control improved and there was no episode of hypoglycemia. CONCLUSION: Hence, clinicians should pay more attention to type 2 diabetic patients treated with gliclazide and detect their serum insulin concentration and IAA to exclude or diagnose IAS and perform the best therapeutic regimen to these patients.