Publications by authors named "Loes Cm Bertens"

Objective: Investigate the acute impact of COVID-19 mitigation measures implemented in March 2020 on a comprehensive range of perinatal outcomes.

Study Design: National registry-based quasi-experimental study.

Methods: We obtained data from the Dutch Perinatal Registry (2010-2020) which was linked to multiple population registries containing sociodemographic variables.

View Article and Find Full Text PDF
Article Synopsis
  • - The study investigates the relationship between neighborhood socioeconomic status (SES) and the likelihood of ongoing pregnancies after 2.5 years of IVF treatment among 2,669 couples.
  • - Researchers categorized SES into low, medium, and high based on postal codes and found significant differences in ongoing pregnancy rates, with lower rates in low SES neighborhoods.
  • - The results indicated that couples from low SES areas had 34% lower odds of achieving ongoing pregnancies within the studied timeframe compared to those from high SES areas.
View Article and Find Full Text PDF

Background: Adverse birth outcomes have serious health consequences, not only during infancy but throughout the entire life course. Most evidence linking neighbourhood socioeconomic status (SES) to birth outcomes is based on cross-sectional SES measures, which do not reflect neighbourhoods' dynamic nature. We investigated the association between neighbourhood SES trajectories and adverse birth outcomes, i.

View Article and Find Full Text PDF

Background Prevalence of undetected heart failure in older individuals is high in the community, with patients being at increased risk of morbidity and mortality due to the chronic and progressive nature of this complex syndrome. An essential, yet currently unavailable, strategy to pre-select candidates eligible for echocardiography to confirm or exclude heart failure would identify patients earlier, enable targeted interventions and prevent disease progression. The aim of this study was therefore to develop and validate such a model that can be implemented clinically.

View Article and Find Full Text PDF

Background: The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a multinomial model often better resembles the clinical setting, where a physician typically must distinguish between more than two possible diagnoses or outcome events for an individual patient (e.g.

View Article and Find Full Text PDF