Background and aims To examine the association of dietary behaviors, lifestyle, and biochemical factors with metabolic phenotypes of obesity among obese Iranian children and adolescents. Methods This cross-sectional study was conducted within the framework of the fifth phase of CASPIAN study. Of 3840 students aged 7–18 years of 30 Iranian provinces, 408 subjects were diagnosed as obese; they were divided into metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) groups. Biochemical factors, anthropometric measures, dietary, and lifestyle habits were compared between groups. Results Of the 408 obese subjects, 68 (16.7%) were the MUO; the remaining 340 (84.3%) fall in the MHO group. The MUO group had significantly higher systolic and diastolic BPs, FBS, TG, ALT, anthropometric measures, and lower HDL levels than MHO groups (all p-value < 0.05). The frequency of high birth weight (> 4000 gr) was significantly higher in the MUO group than the MHO group (p-value: 0.04). A higher percentage of individuals with breastfeeding duration ≥ 6 month was found in the MUO group (95.5% (95% CI 86.1–98.6%)) compared to MHO group (85.7% (95% CI 80.4–89.7%)) (p-value = 0.04). Among dietary and lifestyle-related behaviors, only the frequency of salty snack consumption and eating food according to the parents’ request was significantly higher in the MUO group than the MHO group (p-value < 0.05). Conclusion Dietary habits and lifestyle factors may determine the obesity phenotypes in children and adolescents.
Objective:To identify clinical, ECG and blood-based biomarkers associated with atrial fibrillation (AF) detection after ischaemic stroke or transient ischaemic attack (TIA) that could help inform patient selection for cardiac monitoring.Methods:We performed a systematic review and meta-analysis and searched electronic databases for cohort studies from 15/01/2000-15/01/2020. The outcome was AF ≥30 seconds within one year after ischaemic stroke/TIA. We used random effects models to create summary estimates of risk. Risk of bias was assessed using the Quality in Prognostic Studies tool. PROSPERO registration: CRD42020168307.Results:We identified 8503 studies, selected 34 studies and assessed 69 variables (42 clinical, 20 ECG and seven blood-based biomarkers). The studies included 11569 participants and AF was detected in 1478 people (12.8%). Overall, risk of bias was moderate. Variables associated with increased likelihood of AF detection are older age (OR 3.26, 95%CI 2.35-4.54), female sex (OR 1.47, 95%CI 1.23-1.77), a history of heart failure (OR 2.56, 95%CI 1.87-3.49), hypertension (OR 1.42, 95%CI 1.15-1.75) or ischaemic heart disease (OR 1.80, 95%CI 1.34-2.42), higher modified Rankin Scale (OR 6.13, 95%CI 2.93-12.84) or National Institutes of Health Stroke Scale score (OR 2.50, 95%CI 1.64-3.81), no significant carotid/intracranial artery stenosis (OR 3.23, 95%CI 1.14-9.11), no tobacco use (OR 1.93, 95%CI 1.48-2.51), statin therapy (OR 2.07, 95%CI 1.14-3.73), stroke as index diagnosis (OR 1.59, 95%CI 1.17-2.18), systolic blood pressure (OR 1.61, 95%CI 1.16-2.22), intravenous thrombolysis treatment (OR 2.40, 95%CI 1.83-3.16), atrioventricular block (OR 2.12, 95%CI 1.08-4.17), left ventricular hypertrophy (OR 2.21, 95%CI 1.03-4.74), premature atrial contraction (OR 3.90, 95%CI 1.74-8.74), maximum P-wave duration (OR 3.19, 95%CI 1.40-7.25), PR interval (OR 2.32, 95%CI 1.11-4.83), P-wave dispersion (OR 7.79, 95%CI 4.16-14.61), P-wave index (OR 3.44, 95%CI 1.87-6.32), QTc interval (OR 3.68, 95%CI 1.63-8.28), brain natriuretic peptide (OR 13.73, 95%CI 3.31-57.07) and HDL-cholesterol (OR 1.49, 95%CI 1.17-1.88) concentrations. Variables associated with reduced likelihood are minimum P-wave duration (OR 0.53, 95%CI 0.29-0.98), LDL-cholesterol (OR 0.73, 95%CI 0.57-0.93) and triglyceride (OR 0.51, 95%CI 0.41-0.64) concentrations.Discussion:We have identified multi-modal biomarkers that could help guide patient selection for cardiac monitoring after ischaemic stroke/TIA. Their prognostic utility should be prospectively assessed with AF detection and recurrent stroke as outcomes.
In the past few years, the CRISPR (clustered regularly interspaced short palindromic repeats) applications in medicine and molecular biology have broadened. CRISPR has also been integrated with microfluidic-based biosensors to enhance the sensitivity and selectivity of medical diagnosis due to its great potentials. The CRISPR-powered microfluidics can help quantify DNAs and RNAs for different diseases such as cancer, and viral or bacterial diseases among others. Here in this review, we discussed the main applications of such tools along with their advantages and limitations.
Considering the poor awareness level of the studied women and their poor practice of bone healthy behavior, one could conclude that more programs are needed or the content/delivery style of the existing ones should be optimized.
Despite all the psychological advantages of alprazolam, its long list of toxic properties and interactions has caused concern and highlighted the need for a reliable sensing method. In this study, we developed a simple, highly sensitive electrochemical nanobiosensor to determine the desirable dose of alprazolam, averting the undesirable consequences of overdose. Gold nanourchins (AuNUs) and iron-nickel reduced graphene oxide (Fe-Ni@rGO) were immobilized on a glassy carbon electrode, which was treated beforehand. The electrode surface was characterized using cyclic voltammetry, Fourier transform infrared spectroscopy, scanning electron microscopy/energy-dispersive X-ray spectroscopy, and differential pulse voltammetry. The fabricated sensor showed two linear ranges (4 to 500 µg L−1 and 1 to 50 mg L−1), low limit of detection (1 µg L−1), high sensitivity, good repeatability, and good recovery. Increased –OH and carboxyl (-COOH) groups on the electrode surface, resulting in improved the adsorption of alprazolam and thus lower limit of detection. This nanobiosensor could detect alprazolam powder dissolved in diluted blood serum; we also studied other benzodiazepine drugs (clonazepam, oxazepam, and diazepam) with this nanobiosensor, and results were sensible, with a significant difference.
Background: Due to the worldwide spread of COVID-19, various countries have designed scientific studies on different aspects of the disease. Patients with diabetes mellitus (DM) have been proven to be at higher risk of COVID-19-related complications, hospitalization, and death. Objectives: The aim was to conduct a scientometric analysis of scholarly outputs on diabetes and COVID-19. Methods: Web of Science was searched for scientific publications on diabetes and COVID-19 by Middle Eastern researchers until September 14, 2021. Collected data were analyzed for document type, subject area, countries, top journals, citation number, and authors’ collaboration network using VOS viewer 1.6.15 and bibliometrix R-package 4.1.1. Results: Overall, the characteristics of 603 documents on DM and COVID-19 were analyzed. The top three productive countries in the field were Iran, Turkey, and Saudi Arabia. The top affiliation was from Iran; “Tehran University of Medical Sciences” (n = 168), followed by "Shahid Beheshti University of Medical Sciences" (n = 82). The total citation number was 3704 times. The highest cited paper (348) was a systematic review from Iran, published in arch Acad Emerg Med. The top source was "Diabetes & Metabolic Syndrome: Clinical Research & Reviews," with 26 documents. Conclusions: The current study provides an overview of the quantity and quality of published scholarly documents on the intersection of DM and COVID-19 in the region. Our findings help scientists find the existing gaps, manage the research budgets, identify active authors and scientific institutes to collaborate with, and use their experience to produce new knowledge in the future.
Introduction: Cardiac monitoring is performed to detect atrial fibrillation (AF) after stroke. Identifying patients at high or low risk of AF may allow cardiac monitoring approaches to be tailored on a more personalised basis. We performed a systematic review and meta-analysis to identify variables associated with AF detection after ischaemic stroke. Methods: We followed the Cochrane Collaboration Guidelines and retrieved 8503 studies. After screening, 35 studies were selected and 68 variables were assessed. We assessed 41 clinical variables, 20 ECG parameters and 7 blood biomarkers associated with AF detection >30 seconds duration in the first year after stroke. Comprehensive Meta-analysis software was used to generate an odds ratio and Forest plot for each variable. Studies were assessed for quality using the Quality in Prognostic Studies (QUIPS) tool. Results: The 35 studies included 12010 patients and AF was detected in 1551 patients (13%). Of the 68 variables assessed, 20 were associated with increased odds of AF, 5 were associated with reduced odds of AF and 43 were not associated with AF (Figure 1). The variables most strongly associated with AF detection (odds ratio >3.00) were older age, patients who received IV thrombolytic therapy, maximum P-wave duration, premature atrial complexes, P-wave dispersion, P-wave index, QTc interval and brain natriuretic peptide. Risk of bias was low in 3 studies, moderate in 24 studies and high in 8 studies. Conclusions: We have identified clinically applicable variables that can stratify the probability of AF detection after stroke. Our results will help guide more personalised approaches to cardiac monitoring for AF detection after stroke.
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