16 research outputs found
Exploring risk transfer of human brucellosis in the context of livestock agriculture transition: A case study in Shaanxi, China
With the booming of worldwide agriculture intensification, brucellosis, one of the most neglected zoonotic diseases, has become an increasing challenge for global public health. Although the transmission patterns of human brucellosis (HB) have been studied in many regions, the dynamic transfer processes of risk and its driving factors remain poorly understood, especially in the context of agricultural intensification. This study attempted to explore the risk transfer of HB between the exact epidemic areas and the neighboring or distant low-risk areas to explain the impact of livestock agriculture intensification and foodborne infections on the transmission of HB in Shaanxi Province as a case study. We adopted multiple approaches, including test-based methods, model-based methods, and a geographical detector to detect the spatial-temporal dynamic changes of high-risk epidemic areas of HB at the county scale. We also quantitatively estimated how the related factors drove the risk transfer of the disease. Results confirmed the risk transfer pattern of HB with an expansion from north to south in Shaanxi Province and identified two primary transfer routes. In particular, in the traditional epidemic areas of the Shaanbei plateau, the farm agglomeration effect can significantly increase the risk of HB. Meanwhile, retail outlets for milk and dairy products were partially responsible for the foodborne infections of HB in the emerging epidemic areas of Xi'an. This study not only contributed helpful insights to support HB control and prevention in the rapid transition of livestock agriculture but also provided possible directions for further research on foodborne HB infections in urbanized areas
Identification of circulating hub long noncoding RNAs associated with hypertrophic cardiomyopathy using weighted correlation network analysis
Usefulness of B‐Type Natriuretic Peptide for Predicting the Risk of Stroke in Patients With Heart Failure With Preserved Ejection Fraction
Background B‐type natriuretic peptide (BNP) is a well‐known biomarker for prognosis in heart failure with patients with preserved ejection fraction. However, the clinical predictive ability of BNP for the risk of stroke in HFpEF is not clear. Methods and Results A total of 799 patients with HFpEF from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial were included. Association of baseline BNP with risk of stroke was assessed using the Cox proportional hazard model. The discriminatory ability of BNP was expressed using the C index. The improvement in 5‐year stroke prediction was assessed by C statistic, categorical net reclassification improvement index, and relative integrated discrimination improvement. A total of 34 (4.3%) patients among the 799 patients with HFpEF experienced stroke events over a median of 2.85 years of follow‐up. The stroke group showed a higher BNP level than the nonstroke group (375 pg/mL versus 241 pg/mL, respectively; P=0.006). Higher BNP levels were associated with increased risk of stroke after multivariable adjustment (hazard ratio, 3.29 [95% CI, 1.51–7.16]) and had a moderate performance for stroke prediction (C index, 0.67). Adding BNP to CHADS2/CHA2DS2‐VASc/R2CHADS2 scores improved their predictive value for stroke (CHADS2: C index, 0.67; BNP+CHADS2: C index, 0.77; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.0%; CHA2DS2‐VASc: C index, 0.64; BNP+CHA2DS2‐VASc: C index, 0.74; net reclassification improvement, 41.4%; integrated discrimination improvement, 2.2%; R2CHADS2: C index, 0.70; BNP+R2CHADS2: C index, 0.78; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.2%). Conclusions BNP is associated with an increased risk of stroke in patients with HFpEF and may be a valuable biomarker for stroke prediction in HFpEF
Association of motor index scores with fall incidence among community-dwelling older people
Abstract Background Several kinds of motor dysfunction have been studied for predicting future fall risk in community-dwelling older individuals. However, no study has tested the ability of the fine motor index (FINEA) and gross motor index (GROSSA) to predict the risk of falling, as well as the specific fall type. Objective We investigated the associations of FINEA/GROSSA scores with fall risk, explained falls, and unexplained falls. Methods A total of 6267 community-dwelling adults aged ≥ 50 years from the Irish Longitudinal Study on Aging (TILDA) cohort were included. First, the associations of FINEA and GROSSA scores with the history of total falls, explained falls and unexplained falls were assessed in a cross-sectional study and further verified in a prospective cohort after 2 years of follow-up by Poisson regression analysis. Results We found that high FINEA and GROSSA scores were positively associated with almost all fall histories (FINEA scores: total falls: adjusted prevalence ratio [aPR] = 1.28, P = 0.009; explained falls: aPR = 1.15, P = 0.231; unexplained falls: aPR = 1.88, P < 0.001; GROSSA scores: total falls: aPR = 1.39, P < 0.001; explained falls: aPR = 1.28, P = 0.012; unexplained falls: aPR = 2.18, P < 0.001) in a cross-sectional study. After 2 years of follow-up, high FINEA scores were associated with an increased incidence of total falls (adjusted rate ratio [aRR] = 1.42, P = 0.016) and explained falls (aRR = 1.51, P = 0.020) but not with unexplained falls (aRR = 1.41, P = 0.209). High GROSSA scores were associated with an increased incidence of unexplained falls (aRR = 1.57, P = 0.041) and were not associated with either total falls (aRR = 1.21, P = 0.129) or explained falls (aRR = 1.07, P = 0.656). Compared with individuals without limitations in either the FINEA or GROSSA, individuals with limitations in both indices had a higher risk of falls, including total falls (aRR = 1.35, P = 0.002), explained falls (aRR = 1.31, P = 0.033) and unexplained falls (aRR = 1.62, P = 0.004). Conclusion FINEA scores were positively associated with accidental falls, while GROSSA scores were positively associated with unexplained falls. The group for whom both measures were impaired showed a significantly higher risk of both explained and unexplained falls. FINEA or GROSSA scores should be investigated further as possible tools to screen for and identify community-dwelling adults at high risk of falling
Effect of solvents on forming poly(butyl-2-cyanoacrylate) encapsulated paeonol nanocapsules
<p>The effect of ethanol or acetone, as oil phase solvents, upon the form of paeonol-loaded poly(butyl-2-cyanoacrylate) encapsulated nanocapsules (Pae@PNCs) by interfacial spontaneously polymerization were investigated. Pae@PNCs characterizations including morphology, radius distribution, polydispersity index (PDI), particle size, zeta potential, entrapment efficiency (EE%), drug loading (DL%) and <i>in vitro</i> paeonol release kinetics were evaluated. Results show that 100% acetone have a significant effect on forming nanocapsules, which showed the smaller size (168.3 ± 6.76 nm) under scanning electron microscopy (SEM) and one radius distribution by the particle size analyser. The data showed that using 100% acetone to prepare Pae@PNCs was leading to smaller particle size and lower polydispersity index (PDI), higher zeta potential, better EE (%) and perfect DL (%), which is linear decrease in radius (<i>r</i><sup>2</sup> = 0.939) and PDI (<i>r</i><sup>2</sup> = 0.974) and linear increase EE% (<i>r</i><sup>2</sup> = 0.9879) and DL% (<i>r</i><sup>2</sup> = 0.9892) with the acetone concentration (range 10–100% v/v). Paeonol encapsulated into and adhered on PNCs were confirmed by UV–Visible spectra (UV–Vis), Fourier transform infrared spectroscopy (FTIR) and Differential scanning calorimetry (DSC). Drug release behavior <i>in vitro</i> showed that 100% acetone as solvents on developing Pae@PNCs have greater advantages in controlling and prolonging paeonol release. Results demonstrated that solvents have a significant influence on forming Pae@PNCs.</p
Effect of solvents on forming poly(butyl-2-cyanoacrylate) encapsulated paeonol nanocapsules
U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
Abstract Objective The triglyceride–glucose (TyG) index has been shown to be a new alternative measure for insulin resistance. However, no study has attempted to investigate the association of the TyG index with incident atrial fibrillation (AF) in the general population without known cardiovascular diseases. Methods Individuals without known cardiovascular diseases (heart failure, coronary heart disease, or stroke) from the Atherosclerosis Risk in Communities (ARIC) cohort were recruited. The baseline TyG index was calculated as the Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The association between the baseline TyG index and incident AF was examined using Cox regression. Results Of 11,851 participants, the mean age was 54.0 years; 6586 (55.6%) were female. During a median follow-up of 24.26 years, 1925 incidents of AF cases (0.78/per 100 person-years) occurred. An increased AF incidence with a graded TyG index was found by Kaplan‒Meier curves (P 9.20 levels (aHR 1.18, 95% CI 1.03, 1.37) of the TyG index were associated with an increased risk of AF compared with the middle TyG index category (8.80–9.20). The exposure-effect analysis confirmed the U-shaped association between the TyG index and AF incidence (P = 0.041). Further sex-specific analysis showed that a U-shaped association between the TyG index and incident AF still existed in females but not in males. Conclusions A U-shaped association between the TyG index and AF incidence is observed in Americans without known cardiovascular diseases. Female sex may be a modifier in the association between the TyG index and AF incidence. Graphical Abstrac