Using heart rate profiles during sleep as a biomarker of depression

Background: Abnormalities in heart rate during sleep linked to impaired neuro-cardiac modulation may provide new information about physiological sleep signatures of depression. This study assessed the validity of an algorithm using patterns of heart rate changes during sleep to discriminate between individuals with depression and healthy controls. Methods: A heart rate profiling algorithm was modeled using machine-learning based on 1203 polysomnograms from individuals with depression referred to a sleep clinic for the assessment of sleep abnormalities, including insomnia, excessive daytime fatigue, and sleep-related breathing disturbances (n = 664) and mentally healthy controls (n = 529). The final algorithm was tested on a distinct sample (n = 174) to categorize each individual as depressed or not depressed. The resulting categorizations were compared to medical record diagnoses. Results: The algorithm had an overall classification accuracy of 79.9% [sensitivity: 82.8, 95% CI (0.73–0.89), specificity: 77.0, 95% CI (0.67–0.85)]. The algorithm remained highly sensitive across subgroups stratified by age, sex, depression severity, comorbid psychiatric illness, cardiovascular disease, and smoking status. Conclusions: Sleep-derived heart rate patterns could act as an objective biomarker of depression, at least when it cooccurs with sleep disturbances, and may serve as a complimentary objective diagnostic tool. These findings highlight the extent to which some autonomic functions are im

Comparison of eleven RNA extraction methods for poliovirus direct molecular detection in stool samples

Direct detection by PCR of poliovirus RNA in stool samples provides a rapid diagnostic and surveillance tool that can replace virus isolation by cell culture in global polio surveillance. The sensitivity of direct detection methods is likely to depend on the choice of RNA extraction method and sample volume. We report a comparative analysis of 11 nucleic acid extraction methods (7 manual and 4 semiautomated) for poliovirus molecular detection using stool samples (n = 59) that had been previously identified as poliovirus positive by cell culture. To assess the effect of RNA recovery methods, extracted RNA using each of the 11 methods was tested with a poliovirus-specific reverse transcription-quantitative PCR (RT-qPCR), a pan-poliovirus RT-PCR (near-whole-genome amplification), a pan-enterovirus RT-PCR (entire capsid region), and a nested VP1 PCR that is the basis of a direct detection method based on nanopore sequencing. We also assessed extracted RNA integrity and quantity. The overall effect of extraction method on poliovirus PCR amplification assays tested in this study was found to be statistically significant (P < 0.001), thus indicating that the choice of RNA extraction method is an important component that needs to be carefully considered for any diagnostic based on nucleic acid amplification. Performance of the methods was generally consistent across the different assays used. Of the 11 extraction methods tested, the MagMAX viral RNA isolation kit used manually or automatically was found to be the preferable method for poliovirus molecular direct detection considering performance, cost, and processing time

The extent of corporate governance disclosure and its determinants in a developing market: The case of Egypt

This paper assesses the extent of corporate governance voluntary disclosure and the impact of a comprehensive set of corporate governance (CG) attributes (board composition, board size, CEO duality, director ownership, blockholder ownership and the existence of audit committee) on the extent of corporate governance voluntary disclosure in Egypt. The measurement of disclosure is based on published data created from a checklist developed by the United Nations, which was gathered from a manual review of financial statements and websites of a sample of Egyptian companies listed on Egyptian Stock Exchange (EGX). Although the levels of CG disclosure are found to be minimal, disclosure is high for items that are mandatory under the Egyptian Accounting Standards (EASs). The failure of companies to disclose such information clearly shows some ineffectiveness and inadequacy in the regulatory framework in Egypt. Moreover, the phenomenon of non-compliance may also be attributed to socio-economic factors in Egypt. Therefore, it is expected that Egyptian firms will take a long time to appraise the payback of increased CG disclosure. The findings indicate that that&mdash;ceteris paribus&mdash;the extent of CG disclosure is (1) lower for companies with duality in position and higher ownership concentration as measured by blockholder ownership; and (2) increases with the proportion of independent directors on the board and firm size. The results of the study support theoretical arguments that companies disclose corporate governance information in order to reduce information asymmetry and agency costs and to improve investor confidence in the reported accounting information. The empirical evidence from this study enhances the understanding of the corporate governance disclosure environment in Egypt as one of the emerging markets in the Middle East

Molecular Epidemiology and Evolutionary Trajectory of Emerging Echovirus 30, Europe

In 2018, an upsurge in echovirus 30 (E30) infections was reported in Europe. We conducted a large-scale epidemiologic and evolutionary study of 1,329 E30 strains collected in 22 countries in Europe during 2016-2018. Most E30 cases affected persons 0-4 years of age (29%) and 25-34 years of age (27%). Sequences were divided into 6 genetic clades (G1-G6). Most (53%) sequences belonged to G1, followed by G6 (23%), G2 (17%), G4 (4%), G3 (0.3%), and G5 (0.2%). Each clade encompassed unique individual recombinant forms; G1 and G4 displayed >= 2 unique recombinant forms. Rapid turnover of new clades and recombinant forms occurred over time. Clades G1 and G6 dominated in 2018, suggesting the E30 upsurge was caused by emergence of 2 distinct clades circulating in Europe. Investigation into the mechanisms behind the rapid turnover of E30 is crucial for clarifying the epidemiology and evolution of these enterovirus infections.Peer reviewe

Molecular epidemiology and evolutionary trajectory of emerging echovirus 30, Europe

In 2018, an upsurge in echovirus 30 (E30) infections was reported in Europe. We conducted a large-scale epidemiologic and evolutionary study of 1,329 E30 strains collected in 22 countries in Europe during 2016-2018. Most E30 cases affected persons 0-4 years of age (29%) and 25-34 years of age (27%). Sequences were divided into 6 genetic clades (G1-G6). Most (53%) sequences belonged to G1, followed by G6 (23%), G2 (17%), G4 (4%), G3 (0.3%), and G5 (0.2%). Each clade encompassed unique individual recombinant forms; G1 and G4 displayed >= 2 unique recombinant forms. Rapid turnover of new clades and recombinant forms occurred over time. Clades G1 and G6 dominated in 2018, suggesting the E30 upsurge was caused by emergence of 2 distinct clades circulating in Europe. Investigation into the mechanisms behind the rapid turnover of E30 is crucial for clarifying the epidemiology and evolution of these enterovirus infections.Molecular basis of virus replication, viral pathogenesis and antiviral strategie

Income tax accounting policy choice: Exposure draft responses and the early adoption decision by Canadian companies

We extend prior literature through a detailed examination of the relationship between lobbying behavior and subsequent accounting standard adoption timing, using changes to a Canadian accounting standard with a prolonged transition period. We develop a model linking lobbying and adoption timing. We test hypotheses based on recontracting costs, information production costs, efforts to manage investor perceptions, and corporate governance practices to assess the ability of these factors to explain corporations' choice of adoption timing. We examine responses to the Income Taxes exposure draft using content analysis to identify trends in lobbying behavior. We evaluate the accounting standard adoption decision for Toronto Stock Exchange (TSE) 300 firms using a LOGIT model. Our findings indicate that early adoption appears to be most prevalent for firms that benefit from improved financial statement performance. In contrast, late adopters tend to be firms that have lobbied standard-setters regarding the out-of-pocket costs of the standard and that rate highly on certain corporate governance measures