Addressing persistent evidence gaps in cardiovascular sex differences research – the potential of clinical care data

Women have historically been underrepresented in cardiovascular clinical trials, resulting in a lack of sex-specific data. This is especially problematic in two situations, namely those where diseases manifest differently in women and men and those where biological differences between the sexes might affect the efficacy and/or safety of medication. There is therefore a pressing need for datasets with proper representation of women to address questions related to these situations. Clinical care data could fit this bill nicely because of their unique broad scope across both patient groups and clinical measures. This perspective piece presents the potential of clinical care data in sex differences research and discusses current challenges clinical care data-based research faces. It also suggests strategies to reduce the effect of these limitations, and explores whether clinical care data alone will be sufficient to close evidence gaps or whether a more comprehensive approach is needed

Довідкові регіональні видання з геральдики

Одним з джерел інформації про наявність історичних гербів міст України та новотворів 60-х–80-х рр. ХХ ст. виступає «Алфавитный каталог городов, поселков, сел, губерний и областей России, СНГ, бывших союзных республик СССР, имеющих старые и современные гербы». Автор рецензії проаналізував принципи укладання подібних джерел інформації, зробив свої зауваження та висловив побажання щодо їх вдосконалення.«Alphabetical catalogue of towns, settlements, villages, provinces and regions of Russia, Commonwealth of Independent States, former Soviet Republics of the USSR, which have old and present-day coat of arms» is one of the sources that gives information about historical coat of arms and newly formed emblems of Ukraine during 60th – 80th of XX century. The author of the review analysed the structure of similar sources and made her remarks and suggestion regarding to its improvement

Addressing persistent evidence gaps in cardiovascular sex differences research – the potential of clinical care data

Women have historically been underrepresented in cardiovascular clinical trials, resulting in a lack of sex-specific data. This is especially problematic in two situations, namely those where diseases manifest differently in women and men and those where biological differences between the sexes might affect the efficacy and/or safety of medication. There is therefore a pressing need for datasets with proper representation of women to address questions related to these situations. Clinical care data could fit this bill nicely because of their unique broad scope across both patient groups and clinical measures. This perspective piece presents the potential of clinical care data in sex differences research and discusses current challenges clinical care data-based research faces. It also suggests strategies to reduce the effect of these limitations, and explores whether clinical care data alone will be sufficient to close evidence gaps or whether a more comprehensive approach is needed

Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study

Background: Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance, weight regulation, inflammation and lipid metabolism. Aim of this study is to investigate the association of single nucleotide polymorphisms (SNPs) involved in these mechanisms with MetS. Methods: In a random sample of the EPIC-NL study (n = 1886), 38 SNPs associated with waist circumference, insulin resistance, triglycerides, HDL cholesterol and inflammation in genome wide association studies (GWAS) were selected from the 50K IBC array and one additional SNP was measured with KASPar chemistry. The five groups of SNPs, each belonging to one of the metabolic endpoints mentioned above, were associated with MetS and MetS-score using Goeman's global test. For groups of SNPs significantly associated with the presence of MetS or MetS-score, further analyses were conducted. Results: The group of waist circumference SNPs was associated with waist circumference (P=0.03) and presence of MetS (P=0.03). Furthermore, the group of SNPs related to insulin resistance was associated with MetS score (

Causal relationship between polycystic ovary syndrome and coronary artery disease: A Mendelian randomisation study.

OBJECTIVE: Polycystic ovary syndrome (PCOS) has been associated with an increased risk of coronary artery disease (CAD). However, it remains uncertain whether this increased risk is the result of PCOS per se or, alternatively, is explained by obesity, a common feature of PCOS. The aim of this study was to assess the causal association between PCOS and CAD and the role of obesity herein. DESIGN AND METHODS: We conducted two-sample Mendelian randomisation analyses in large-scale, female-specific datasets to study the association between genetically predicted (1) risk of PCOS and risk of CAD, (2) body mass index (BMI) and risk of PCOS and (3) BMI and risk of CAD. Primary analyses were conducted with the inverse-variance weighted (IVW) method. Simple median, penalized weighted median and contamination mixture analyses were performed to assess the robustness of the outcomes. RESULTS: IVW analyses did not show a statistically significant association between PCOS and CAD (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.89, 1.11). In contrast, genetically predicted BMI was statistically significantly associated with an increased odds of PCOS (OR: 3.21, 95% CI: 2.26, 4.56) and CAD (OR: 1.38, 95% CI: 1.14, 1.67). Similar results were obtained when secondary analyses were performed. CONCLUSION: These sex-specific analyses show that the genetically predicted risk of PCOS is not associated with the risk of CAD. Instead, the genetically predicted risk of obesity (and its downstream metabolic effects) is the common denominator of both PCOS and CAD risk

Sex Differences in Reported Adverse Drug Reactions to Angiotensin-Converting Enzyme Inhibitors

Sex differences in adverse drug reactions (ADRs) associated with angiotensin-converting enzyme inhibitors (ACEIs) remain poorly understood owing to a lack of sex-specific ADR data from clinical trials. 1 Postmarketing pharmacovigilance data, containing structured and detailed ADR information, may play an important role in such analyses. However, these data are often not corrected for prescription numbers and therefore cannot separate sex differences in ADR risk from sex differences in prescription rates. To investigate whether women report more ACEI-related ADRs than men after correction for sex-specific prescription and describe sex differences in reported ADR types, we combined data from the global pharmacovigilance database VigiBase and the prescription-corrected Dutch pharmacovigilance database Lareb

Bayesian evidence synthesis in case of multi-cohort datasets:An illustration by multi-informant differences in self-control

Abstract The trend toward large-scale collaborative studies gives rise to the challenge of combining data from different sources efficiently. Here, we demonstrate how Bayesian evidence synthesis can be used to quantify and compare support for competing hypotheses and to aggregate this support over studies. We applied this method to study the ordering of multi-informant scores on the ASEBA Self Control Scale (ASCS), employing a multi-cohort design with data from four Dutch cohorts. Self-control reports were collected from mothers, fathers, teachers and children themselves. The available set of reporters differed between cohorts, so in each cohort varying components of the overarching hypotheses were evaluated. We found consistent support for the partial hypothesis that parents reported more self-control problems than teachers. Furthermore, the aggregated results indicate most support for the combined hypothesis that children report most problem behaviors, followed by their mothers and fathers, and that teachers report the fewest problems. However, there was considerable inconsistency across cohorts regarding the rank order of children’s reports. This article illustrates Bayesian evidence synthesis as a method when some of the cohorts only have data to evaluate a partial hypothesis. With Bayesian evidence synthesis, these cohorts can still contribute to the aggregated results

Sex Differences in Reported Adverse Drug Reactions to Angiotensin-Converting Enzyme Inhibitors

This cross-sectional study investigates differences by sex in reporting of adverse drug reactions associated with angiotensin-converting enzyme inhibitors combining global and prescription-corrected databases