Association between cardiometabolic index and hepatic steatosis and liver fibrosis: a population-based study.

BACKGROUND: The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis. METHODS: A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status. RESULTS: A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)]. CONCLUSIONS: The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. Larger prospective investigations are needed to confirm our findings.

Cardiometabolic index is associated with increased depression: A population-based study.

BACKGROUND AND AIM: Depression is a common and complex psychiatric disorder, and lipid metabolism plays an important role in the development of psychiatric disorders such as depression. Cardiometabolic index (CMI) is a novel index that synthesizes two quantitative indicators of blood lipids (triglyceride(TG)/high-density lipoprotein cholesterol (HDL-C)) and human obesity-related parameters (waist height ratio (WHtR)). This study used NHANES data to explore the correlation between CMI and the incidence of depression. METHODS AND RESULTS: Based on the data of the National Health and Nutrition Examination Survey (NHANES) 2011-2018, multivariate logistic regression, sensitivity analysis, and smooth curve fitting were used to study the relationship between CMI and depression. Subgroup analysis and interaction tests were used to investigate whether the association was stable in different populations. CMI was positively associated with depression in 7229 participants aged >20 years. In the fully adjusted model, each unit increase in CMI was associated with 36 % higher likelihood of depression symptoms [1.36(1.16,1.59)]. Participants in the highest quartile of CMI had a 62 % higher risk of depression than participants in the lowest quartile [1.62(1.17,2.23)]. This positive correlation was more pronounced in those with hypertension. CONCLUSIONS: CMI was associated with a higher PHQ-9 score and an increased likelihood of depression among US adults. Further large-scale prospective studies are still need to analyze the role of CMI in depression.

A Field Study of Work Type Influence on Air Traffic Controllers' Fatigue Based on Data-Driven PERCLOS Detection.

The fatigue of air traffic controllers (ATCOs) on duty seriously threatens air traffic safety and needs to be managed. ATCOs perform several different types of work, with each type of work having different characteristics. Nonetheless, the influence of work type on an ATCO's fatigue has yet to be demonstrated. Here, we present a field study in which the fatigue of ATCOs working in two types of work was compared based on an optimized data-driven method that was employed to detect the percentage of eyelid closure over the pupil over time (PERCLOS). Sixty-seven ATCOs working within two typical jobs (i.e., from the terminal control unit (TCU) and area control unit (ACU)) were recruited, and their fatigue was detected immediately before and after shift work using PERCLOS. Using a Spearman correlation test analysis, the results showed that the influence of work type on an ATCO's fatigue had interesting trends. Specifically, the ATCOs at the TCU who handle departures and arrivals, which include converging with and maneuvering around conflicts, retain normal circadian rhythms. Their fatigue was significantly influenced by the various demands from tasks focusing on sequencing and conflict resolution and by the time phase of a normal circadian rhythm. At the ACU, ATCOs manage flights that are mainly on route, causing monotonous monitoring and routine reporting tasks, and the ATCOs generally have frequent night shifts to handle overflights. Their fatigue was significantly influenced by the demand characteristics from tasks, but changes in fatigue rule were not consistent with a normal circadian rhythm, revealing that the ATCOs' circadian rhythms may have already been slightly disturbed. Furthermore, the interactions between task demand and circadian rhythm with an ATCO's fatigue were significantly observed in ATCOs working in the TCU but not in those in the ACU. This study provides first evidence that an ATCO's work type influences his or her fatigue. This discovery may incite stakeholders to consider work type in the management of employee fatigue, not only in the civil aviation industry but also in other transport industries.

Fast mode decision for 3D-HEVC depth intracoding.

The emerging international standard of high efficiency video coding based 3D video coding (3D-HEVC) is a successor to multiview video coding (MVC). In 3D-HEVC depth intracoding, depth modeling mode (DMM) and high efficiency video coding (HEVC) intraprediction mode are both employed to select the best coding mode for each coding unit (CU). This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time which obstructs the 3D-HEVC from practical application. In this paper, a fast mode decision algorithm based on the correlation between texture video and depth map is proposed to reduce 3D-HEVC depth intracoding computational complexity. Since the texture video and its associated depth map represent the same scene, there is a high correlation among the prediction mode from texture video and depth map. Therefore, we can skip some specific depth intraprediction modes rarely used in related texture CU. Experimental results show that the proposed algorithm can significantly reduce computational complexity of 3D-HEVC depth intracoding while maintaining coding efficiency.

[Etiology monitoring of influenza virus and variation in hemagglutinin genes of H13 subtype in Wuxi area].

OBJECTIVE: To monitor the seasonal distribution of influenza types and subtypes in Wuxi area during 2005-2008, and to investigate the variation in hemagglutinin (HA) genes of A/H3N2 strains in 2008. METHODS: Nose-throat swab specimens were collected in Wuxi area from flu-like patients from outpatient departments of hospitals as well as from clustering flu-like outbreak patients from workspace, followed by MDCK cell inoculation. Types and subtypes of positive influenza isolates were identified using standard antiserum. We then sequenced the HA genes for H3 subtype influenza viruses isolated from 2008 specimens to investigate the variation in HA genes. RESULTS: During 2005 and September 2008, 435 strains of influenza viruses were isolated from flu-like patients in Wuxi Area, among which 164 isolates are of A/H1N1 subtype, 80 isolates are of A/H3N2 subtype, and 191 isolates are of B type. These types/subtypes have significant seasonal distributions. Sequences of HA genes for H3 subtype show that the 9 strains isolated in Wuxi area are similar to those of strains isolated in Shanghai within the same period. Many of the sequences belong to the same branch of the phylogenetic tree, and are similar to sequences of vaccine strains in WHO 2008-2009 repositories. CONCLUSION: A/H1N1, A/H3N2 and B still attribute to most of the sporadic and local outbreaks of influenza infection in Wuxi area in recent years. HA genes of A/H3N2 strains isolated in Wuxi area are similar to those of strains isolated in Shanghai in the same period, and also similar to those of vaccine strains recommended by WHO for 2008-2009.

[Cloning and sequencing of the papA gene from uropathogenic Escherichia coli 4030 strain].

OBJECTIVE: Cloning and sequencing of the papA gene from uropathogenic Escherichia coli 4030 strain to investigate the differences of the sequences of the papA of UPEC4030 strain and the ones of related genes, in order to make whether or not it was a new genotype. METHODS: Cloning and sequencing methods were used to analyze the sequence of the papA of UPEC4030 strain in comparison with related sequences. RESULTS: The sequence analysis of papA revealed a 722 bp gene and encode 192 amino acid polypeptide. The overall homology of the papA genes between UPEC4030 and the standard strains of ten F types were 36.11%-77.95% and 22.20%-78.34% at nucleotide and deduced amino acid levels. The homology between the sequence of the reverse primers and the corresponding sequence of UPEC4030 papA was 10%-66.67%. The results confirmed that UPEC4030 strain contained a novel papA variant. CONCLUSION: UPEC4030 strain could contain an unknown papA variant or the novel genotype. The pathogenic mechanism and epidemiology related need to be further studied.

[Genomic analysis of an unknown pap genotype from uropathogenic Escherichia coli 4030 strain].

OBJECTIVE: To investigate the differences between the sequences of papA and papG of UPEC4030 strain and the related genes, to better understand the genetic variation of UPEC4030 papA and its combination forms with papG so as to identify if it was a new genotype. METHODS: Cloning and sequencing methods were used to analyze the sequences of papG and papA of UPEC4030 strain and to compare their related sequences. RESULTS: Through sequence analysis of papA, it was revealed that there was a 722 bp gene, encoding 192 amino acid polypeptide. The overall homology of the papA genes between UPEC4030 and the standard strains of ten F types were 36.11% - 77.95% and 22.20% - 78.34% at nucleotide and deduced amino acid levels. Homology between the sequences of reverse primers and the corresponding sequence of UPEC4030 papA was 10.00% - 66.67%. The results confirmed that UPEC4030 strain contained a novel papA variant. Through sequence analysis of UPEC4030 papG, we revealed a 1100 bp gene, encoding 337 amino acid polypeptide. The homology of the papG genes between UPEC4030 and UPEC IA2, the standard strain, was 99.00% at nucleotide level and 99.11% at deduced amino acid and UPEC4030 strain carried class II genotype of papG. CONCLUSION: UPEC4030 strain contained an unknown papA variant or the new genotype and carried class II genotype of papG. The pathogenic mechanism and epidemiology call for further study.