Publications by authors named "Sophie Bots"

Background: Left ventricular ejection fraction (EF) is used to categorize heart failure (HF) into phenotypes but this information is often missing in electronic health records or non-HF registries.

Methods: We tested the applicability of a simplified version of a multivariable algorithm, that was developed on data of the Swedish Heart Failure Registry to predict EF in patients with HF. We used data from 4,868 patients with HF from the Cardiology Centers of the Netherlands database, an organization of 13 cardiac outpatient clinics that operate between the general practitioner and the hospital cardiologist.

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We test the robustness of the self-controlled risk interval (SCRI) design in a setting where time between doses may introduce time-varying confounding, using both negative control outcomes (NCOs) and quantitative bias analysis (QBA). All vaccinated cases identified from 5 European databases between 1 September 2020 and end of data availability were included. Exposures were doses 1-3 of the Pfizer, Moderna, AstraZeneca, and Janssen COVID-19 vaccines; outcomes were myocarditis and otitis externa (NCO).

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Article Synopsis
  • The study assessed bias in self-controlled designs examining the link between COVID-19 vaccines and myocarditis.
  • Data from five European databases was analyzed, focusing on individuals who developed myocarditis after vaccination.
  • Results showed a consistent harmful association with myocarditis after the second dose of both Pfizer and Moderna vaccines, while the first dose showed no effect, indicating limited bias in the study methods.
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Purpose: During the first waves of the coronavirus pandemic, evidence on potential effective treatments was urgently needed. Results from observational studies on the effectiveness of hydroxychloroquine (HCQ) were conflicting, potentially due to biases. We aimed to assess the quality of observational studies on HCQ and its relation to effect sizes.

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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.

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Estimates of the association between COVID-19 vaccines and myo-/pericarditis risk vary widely across studies due to scarcity of events, especially in age- and sex-stratified analyses. Population-based cohort study with nested self-controlled risk interval (SCRI) using healthcare data from five European databases. Individuals were followed from 01/01/2020 until end of data availability (31/12/2021 latest).

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Article Synopsis
  • The study highlights a gender gap in clinical trials on the benefits of high-intensity statins for cardiovascular health, underscoring that women were underrepresented.
  • It analyzed data from over 47,800 patients, finding that women had a stronger survival benefit from statin use compared to men, particularly regarding all-cause and cardiovascular mortality.
  • High-intensity statins offered a slight additional advantage for both genders, but overall effectiveness was notable, especially in women, regardless of the statin intensity.
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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.

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Electronic health record (EHR) data not only offer many exciting research opportunities but also come with their own inherent limitations. Researchers may not always realise the challenges associated with the use of EHR data for research, or the fact that using large datasets of 'real-world data' does not necessarily provide valuable real-world evidence. This article discusses some of the main differences between EHR data and data collected primarily for research purposes, and the challenges encountered when using EHR data for research.

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Background: Knowledge about adverse drug reactions (ADRs) in the population is limited because of underreporting, which hampers surveillance and assessment of drug safety. Therefore, gathering accurate information that can be retrieved from clinical notes about the incidence of ADRs is of great relevance. However, manual labeling of these notes is time-consuming, and automatization can improve the use of free-text clinical notes for the identification of ADRs.

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Pharmacological treatment is an important component of secondary prevention in acute coronary syndrome (ACS) survivors. However, adherence to medication regimens is often suboptimal, reducing the effectiveness of treatment. It has been suggested that sex influences adherence to cardiovascular medication, but results differ across studies, and a systematic overview is lacking.

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Stroke prevention and rate or rhythm control are crucial in the management of atrial fibrillation (AF). There is recent evidence for benefit of early rhythm control, yet rate control is the first choice in elderly patients. However, the efficacy and safety of rate and rhythm control in the elderly population remains largely unexplored.

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Objective: Women with heart failure with reduced ejection fraction (HFrEF) may reach optimal treatment effect at half of the guideline-recommended medication dose. This study investigates prescription practice and its relation with survival of patients with HF in daily care.

Methods: Electronic health record data from 13 Dutch outpatient cardiology clinics were extracted for HF receiving at least one guideline-recommended HF medication.

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Background: Despite the increasing availability of clinical data due to the digitalisation of healthcare systems, data often remain inaccessible due to the diversity of data collection systems. In the Netherlands, Cardiology Centers of the Netherlands (CCN) introduced "one-stop shop" diagnostic clinics for patients suspected of cardiac disease by their general practitioner. All CCN clinics use the same data collection system and standardised protocol, creating a large regular care database.

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Article Synopsis
  • * Eligible participants include individuals aged 45 and older with chest pain, referred to a cardiology clinic, and the study will use advanced imaging techniques like coronary CT angiography and cardiac MRI to diagnose the condition.
  • * The collected data will contribute to developing a decision-support tool that uses predictive modeling and machine learning to assist cardiologists in making referral decisions for evaluating both types of CAD.
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Objectives: To assess the diagnostic value of non-acute chest pain characteristics for coronary artery disease in women and men referred to outpatient cardiology clinics.

Design And Setting: This is an observational study performed at outpatient cardiology centres of the Netherlands.

Participants: The study population consisted of 1028 patients with non-acute chest pain (505 women).

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Sex differences in coronary artery disease (CAD) are well established, with women presenting with non-obstructive CAD more often than men do. However, recent evidence has identified coronary microvascular dysfunction as the underlying cause for cardiac complaints, yet sex-specific prevalence numbers are inconclusive. This review summarises known sex-specific aspects in the pathophysiology of both macro- and microvascular dysfunction and identifies currently existing knowledge gaps.

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Introduction: Left ventricular diastolic dysfunction (LVDD) is a common condition in both sexes that may deteriorate into heart failure (HF) with preserved ejection fraction (pEF), although this seems to happen more often in women than in men. Both LVDD and HFpEF often go unrecognised, necessitating the discovery of biomarkers that aid both the identification of individuals with LVDD at risk of developing HF and identification of individuals most likely to benefit from treatment.

Methods And Analysis: HELPFul is an ongoing case-cohort study at a Dutch cardiology outpatient clinic enrolling patients aged 45 years and older without history of cardiovascular disease, who were referred by the general practitioner for cardiac evaluation.

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Objectives: This study sought to summarize all available evidence on sex differences in adverse drug reactions (ADRs) to heart failure (HF) medication.

Background: Women are more likely to experience ADRs than men, and these reactions may negatively affect women's immediate and long-term health. HF in particular is associated with increased ADR risk because of the high number of comorbidities and older age.

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Despite the recent movements for female equality and empowerment, few women occupy top positions in scientific decision-making. The challenges women face during their career may arise from societal biases and the current scientific culture. We discuss the effect of such biases at three different levels of the career and provide suggestions to tackle them.

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Background: There are substantial differences in the distribution of adipose tissue between women and men. We assessed the sex-specific relationships and their differences between measures of general and central adiposity and the risk of incident myocardial infarction (MI).

Methods And Results: Between 2006 and 2010, the UK Biobank recruited over 500 000 participants aged 40 to 69 years across the United Kingdom.

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Background: Cardiovascular disease mortality rates are well known to be lower in women than men and to increase with age. Whether these sex and age effects have changed over recent decades, and how much they differ by country, is unclear.

Method: From the WHO Mortality Database, we obtained age-specific and sex-specific coronary heart disease (CHD) and stroke mortality rates for the world's most populous countries with data available between 1980 and 2010.

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Background: Low socioeconomic status (SES) is a known risk factor for cardiovascular disease (CVD) but whether its effects are comparable in women and men is unknown.

Methods: PubMed MEDLINE was systematically searched. Studies that reported sex-specific estimates, and associated variability, of the relative risk (RR) for coronary heart disease (CHD), stroke or CVD according to a marker of SES (education, occupation, income or area of residence), for women and men were included.

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